Life Expectancy Statistical Analysis

Project Description

Introduction

Understanding life expectancy, which refers to the average duration a person is projected to live, holds significance as it serves as a comprehensive measure of community well-being. Factors such as elevated infant mortality rates, increased occurrences of suicide, limited access to quality healthcare, and other determinants can contribute to lower life expectancies. In addition, life expectancy finds various applications in the financial domain, encompassing areas such as life insurance, pension planning, and Social Security benefits.

Life expectancy prediction is valuable for insurance businesses and bank loans because it allows them to assess risk and make informed decisions.Accurate life expectancy prediction enables businesses to make more precise risk assessments and pricing decisions. It helps them manage their financial exposure, align their products with the appropriate risk levels, and ensure the long-term sustainability of their operations.

Insurance Businesses:

• Life Insurance: Life expectancy prediction helps insurance companies assess the risk associated with providing life insurance policies. By estimating life expectancy, they can determine the likelihood of a policyholder’s lifespan exceeding the policy term. This information allows insurers to set appropriate premiums and policy terms based on the individual’s life expectancy.
• Annuities and Pension Plans: For annuities and pension plans, life expectancy prediction helps insurers calculate the expected payout duration. It allows them to estimate the length of time they will need to provide benefits, impacting the pricing and financial sustainability of these products.

Bank Loans:

• Mortgage and Home Loans: Life expectancy prediction can be used to assess the risk associated with long-term loans such as mortgages. It helps lenders evaluate the probability of borrowers completing their loan terms based on their life expectancy. This information can influence loan approval decisions, interest rates, and loan terms.
• Personal Loans: In cases where personal loans involve significant sums or extended repayment periods, life expectancy prediction can provide insights into the borrower’s ability to repay the loan. It helps lenders evaluate the risk of default or early termination due to the borrower’s life expectancy.

About the Dataset

The aim of this work is to analyze a dataset related to life expectancy. It contains data for 193 countries, in a span of 15 years, which has been collected from the WHO data repository website and its corresponding economic data was collected from United Nation website. We obtained this dataset from Kaggle and it is publicly available for educational purposes. The analysis will consist of data cleaning, exploratory data analysis (EDA), a simple case of linear regression, a more complete study of multiple linear regression and finally a binary classification problem.

We start our project by loading the dataset from the local drive to a dataframe.

## [1] "Dataset loaded."

## Number of rows:  2938 | Number of columns:  22

Let’s take a look at the Dataset:

kable(LifeExp) %>%
  kable_styling() %>%
  scroll_box(height = "300px")

Country	Year	Status	Life.expectancy	Adult.Mortality	infant.deaths	Alcohol	percentage.expenditure	Hepatitis.B	Measles	BMI	under.five.deaths	Polio	Total.expenditure	Diphtheria	HIV.AIDS	GDP	Population	thinness..1.19.years	thinness.5.9.years	Income.composition.of.resources	Schooling
Afghanistan	2015	Developing	65.0	263	62	0.01	7.127962e+01	65	1154	19.1	83	6	8.16	65	0.1	5.842592e+02	3.373649e+07	17.2	17.3	0.479	10.1
Afghanistan	2014	Developing	59.9	271	64	0.01	7.352358e+01	62	492	18.6	86	58	8.18	62	0.1	6.126965e+02	3.275820e+05	17.5	17.5	0.476	10.0
Afghanistan	2013	Developing	59.9	268	66	0.01	7.321924e+01	64	430	18.1	89	62	8.13	64	0.1	6.317450e+02	3.173169e+07	17.7	17.7	0.470	9.9
Afghanistan	2012	Developing	59.5	272	69	0.01	7.818422e+01	67	2787	17.6	93	67	8.52	67	0.1	6.699590e+02	3.696958e+06	17.9	18.0	0.463	9.8
Afghanistan	2011	Developing	59.2	275	71	0.01	7.097109e+00	68	3013	17.2	97	68	7.87	68	0.1	6.353723e+01	2.978599e+06	18.2	18.2	0.454	9.5
Afghanistan	2010	Developing	58.8	279	74	0.01	7.967937e+01	66	1989	16.7	102	66	9.20	66	0.1	5.533289e+02	2.883167e+06	18.4	18.4	0.448	9.2
Afghanistan	2009	Developing	58.6	281	77	0.01	5.676222e+01	63	2861	16.2	106	63	9.42	63	0.1	4.458933e+02	2.843310e+05	18.6	18.7	0.434	8.9
Afghanistan	2008	Developing	58.1	287	80	0.03	2.587393e+01	64	1599	15.7	110	64	8.33	64	0.1	3.733611e+02	2.729431e+06	18.8	18.9	0.433	8.7
Afghanistan	2007	Developing	57.5	295	82	0.02	1.091016e+01	63	1141	15.2	113	63	6.73	63	0.1	3.698358e+02	2.661679e+07	19.0	19.1	0.415	8.4
Afghanistan	2006	Developing	57.3	295	84	0.03	1.717152e+01	64	1990	14.7	116	58	7.43	58	0.1	2.725638e+02	2.589345e+06	19.2	19.3	0.405	8.1
Afghanistan	2005	Developing	57.3	291	85	0.02	1.388648e+00	66	1296	14.2	118	58	8.70	58	0.1	2.529413e+01	2.577980e+05	19.3	19.5	0.396	7.9
Afghanistan	2004	Developing	57.0	293	87	0.02	1.529607e+01	67	466	13.8	120	5	8.79	5	0.1	2.191414e+02	2.411898e+07	19.5	19.7	0.381	6.8
Afghanistan	2003	Developing	56.7	295	87	0.01	1.108905e+01	65	798	13.4	122	41	8.82	41	0.1	1.987285e+02	2.364851e+06	19.7	19.9	0.373	6.5
Afghanistan	2002	Developing	56.2	3	88	0.01	1.688735e+01	64	2486	13.0	122	36	7.76	36	0.1	1.878459e+02	2.197992e+07	19.9	2.2	0.341	6.2
Afghanistan	2001	Developing	55.3	316	88	0.01	1.057473e+01	63	8762	12.6	122	35	7.80	33	0.1	1.174970e+02	2.966463e+06	2.1	2.4	0.340	5.9
Afghanistan	2000	Developing	54.8	321	88	0.01	1.042496e+01	62	6532	12.2	122	24	8.20	24	0.1	1.145600e+02	2.937560e+05	2.3	2.5	0.338	5.5
Albania	2015	Developing	77.8	74	0	4.60	3.649752e+02	99	0	58.0	0	99	6.00	99	0.1	3.954228e+03	2.887300e+04	1.2	1.3	0.762	14.2
Albania	2014	Developing	77.5	8	0	4.51	4.287491e+02	98	0	57.2	1	98	5.88	98	0.1	4.575764e+03	2.889140e+05	1.2	1.3	0.761	14.2
Albania	2013	Developing	77.2	84	0	4.76	4.308770e+02	99	0	56.5	1	99	5.66	99	0.1	4.414723e+03	2.895920e+05	1.3	1.4	0.759	14.2
Albania	2012	Developing	76.9	86	0	5.14	4.124434e+02	99	9	55.8	1	99	5.59	99	0.1	4.247614e+03	2.941000e+03	1.3	1.4	0.752	14.2
Albania	2011	Developing	76.6	88	0	5.37	4.370621e+02	99	28	55.1	1	99	5.71	99	0.1	4.437179e+03	2.951950e+05	1.4	1.5	0.738	13.3
Albania	2010	Developing	76.2	91	1	5.28	4.182276e+01	99	10	54.3	1	99	5.34	99	0.1	4.943588e+02	2.913210e+05	1.4	1.5	0.725	12.5
Albania	2009	Developing	76.1	91	1	5.79	3.480560e+02	98	0	53.5	1	98	5.79	98	0.1	4.114137e+03	2.927519e+06	1.5	1.6	0.721	12.2
Albania	2008	Developing	75.3	1	1	5.61	3.662207e+01	99	0	52.6	1	99	5.87	99	0.1	4.375396e+02	2.947314e+06	1.6	1.6	0.713	12.0
Albania	2007	Developing	75.9	9	1	5.58	3.224655e+01	98	22	51.7	1	99	6.10	98	0.1	3.631368e+02	2.971700e+04	1.6	1.7	0.703	11.6
Albania	2006	Developing	74.2	99	1	5.31	3.302154e+00	98	68	5.8	1	97	5.86	97	0.1	3.512930e+01	2.992547e+06	1.7	1.8	0.696	11.4
Albania	2005	Developing	73.5	15	1	5.16	2.699312e+01	98	6	49.9	1	97	6.12	98	0.1	2.791429e+02	3.114870e+05	1.8	1.8	0.685	10.8
Albania	2004	Developing	73.0	17	1	4.54	2.218428e+02	99	7	48.9	1	98	6.38	97	0.1	2.416588e+03	3.269390e+05	1.8	1.9	0.681	10.9
Albania	2003	Developing	72.8	18	1	4.29	1.471929e+01	97	8	47.9	1	97	6.27	97	0.1	1.896816e+02	3.396160e+05	1.9	2.0	0.674	10.7
Albania	2002	Developing	73.3	15	1	3.73	1.045169e+02	96	16	46.9	1	98	6.30	98	0.1	1.453643e+03	3.511000e+03	2.0	2.1	0.670	10.7
Albania	2001	Developing	73.6	14	1	4.25	9.620557e+01	96	18	46.0	1	97	6.00	97	0.1	1.326973e+03	3.617300e+04	2.1	2.1	0.662	10.6
Albania	2000	Developing	72.6	11	1	3.66	9.171154e+01	96	662	45.0	1	97	6.26	97	0.1	1.175789e+03	3.892700e+04	2.1	2.2	0.656	10.7
Algeria	2015	Developing	75.6	19	21	NA	0.000000e+00	95	63	59.5	24	95	NA	95	0.1	4.132763e+03	3.987153e+07	6.0	5.8	0.743	14.4
Algeria	2014	Developing	75.4	11	21	0.01	5.423732e+01	95	0	58.4	24	95	7.21	95	0.1	5.478517e+02	3.911331e+07	6.0	5.8	0.741	14.4
Algeria	2013	Developing	75.3	112	21	0.53	5.444507e+02	95	25	57.2	24	95	7.12	95	0.1	5.471867e+03	3.833856e+07	5.9	5.8	0.737	14.4
Algeria	2012	Developing	75.1	113	21	0.66	5.559261e+02	95	18	56.1	24	95	6.14	95	0.1	5.564826e+03	3.756585e+07	5.9	5.8	0.732	14.4
Algeria	2011	Developing	74.9	116	21	0.56	5.090020e+02	95	112	55.0	24	95	5.29	95	0.1	5.432252e+03	3.681956e+07	5.9	5.8	0.724	14.0
Algeria	2010	Developing	74.7	119	21	0.45	4.307176e+02	95	103	53.9	24	95	5.12	95	0.1	4.463395e+03	3.611764e+07	5.9	5.8	0.714	13.6
Algeria	2009	Developing	74.4	123	20	0.50	3.520636e+02	94	107	52.8	23	94	5.36	95	0.1	3.868831e+03	3.546576e+06	6.0	5.9	0.705	13.1
Algeria	2008	Developing	74.1	126	20	0.46	4.308717e+01	91	217	51.8	23	92	4.20	93	0.1	4.952549e+02	3.486715e+06	6.0	5.9	0.697	12.6
Algeria	2007	Developing	73.8	129	20	0.44	3.203239e+02	9	0	5.8	23	95	3.82	95	0.1	3.935183e+03	3.437600e+04	6.0	5.9	0.690	12.3
Algeria	2006	Developing	73.4	132	20	0.36	2.702402e+02	8	944	49.8	23	95	3.36	95	0.1	3.464618e+03	3.377792e+07	6.1	6.0	0.686	12.3
Algeria	2005	Developing	72.9	136	19	0.50	2.548923e+00	83	2302	48.9	22	88	3.24	88	0.1	3.112238e+01	3.328844e+07	6.1	6.0	0.680	12.0
Algeria	2004	Developing	72.3	14	19	0.45	2.203937e+02	81	3289	47.9	23	86	3.54	86	0.1	2.598982e+03	3.283196e+06	6.2	6.1	0.673	11.7
Algeria	2003	Developing	71.7	146	20	0.34	2.501852e+01	NA	15374	47.0	23	87	3.60	87	0.1	2.943356e+02	3.243514e+06	6.3	6.1	0.663	11.5
Algeria	2002	Developing	71.6	145	20	0.36	1.485120e+02	NA	5862	46.1	23	86	3.73	86	0.1	1.774337e+03	3.199546e+06	6.3	6.2	0.653	11.1
Algeria	2001	Developing	71.4	145	20	0.23	1.479861e+02	NA	2686	45.3	24	89	3.84	89	0.1	1.732858e+03	3.159215e+07	6.4	6.3	0.644	10.9
Algeria	2000	Developing	71.3	145	21	0.25	1.544559e+02	NA	0	44.4	25	86	3.49	86	0.1	1.757178e+03	3.118366e+06	6.5	6.4	0.636	10.7
Angola	2015	Developing	52.4	335	66	NA	0.000000e+00	64	118	23.3	98	7	NA	64	1.9	3.695794e+03	2.785935e+06	8.3	8.2	0.531	11.4
Angola	2014	Developing	51.7	348	67	8.33	2.396561e+01	64	11699	22.7	101	68	3.31	64	2.0	4.793122e+02	2.692466e+06	8.5	8.3	0.527	11.4
Angola	2013	Developing	51.1	355	69	8.10	3.595857e+01	77	8523	22.1	105	67	4.26	77	2.3	4.846169e+02	2.599834e+06	8.6	8.5	0.523	11.4
Angola	2012	Developing	56.0	358	72	8.24	2.561225e+02	75	4458	21.5	110	75	3.30	75	2.6	4.598250e+03	2.596150e+05	8.8	8.6	0.508	10.3
Angola	2011	Developing	51.0	361	75	8.06	2.398914e+02	72	1449	21.0	115	73	3.38	71	2.5	4.299129e+03	2.421857e+07	8.9	8.8	0.495	9.4
Angola	2010	Developing	49.6	365	78	7.80	1.916537e+02	77	1190	2.4	121	81	3.39	77	2.5	3.529535e+03	2.336913e+07	9.1	9.0	0.488	9.0
Angola	2009	Developing	49.1	369	81	7.01	2.129229e+02	61	2807	19.8	127	63	4.37	6	2.5	3.347845e+03	2.254955e+07	9.3	9.2	0.480	8.5
Angola	2008	Developing	48.7	371	84	7.07	2.499102e+02	69	265	19.3	133	65	3.84	69	2.6	3.868579e+03	2.175942e+06	9.5	9.4	0.468	8.1
Angola	2007	Developing	48.2	375	87	6.35	1.848213e+02	73	1014	18.8	138	75	3.38	73	2.6	2.878837e+03	2.997687e+06	9.6	9.6	0.454	7.7
Angola	2006	Developing	47.7	381	90	5.84	2.508689e+01	NA	765	18.2	143	36	4.54	34	2.5	2.624151e+02	2.262399e+06	9.8	9.7	0.439	7.2
Angola	2005	Developing	47.4	382	92	5.04	9.819145e+01	NA	258	17.7	148	39	4.10	38	2.6	1.443992e+03	1.955254e+07	1.0	9.9	0.426	6.8
Angola	2004	Developing	47.1	386	94	3.53	8.866777e+00	NA	29	17.2	152	4	4.71	4	2.5	1.418684e+02	1.886572e+07	1.2	1.1	0.415	6.4
Angola	2003	Developing	46.8	388	95	3.49	3.593349e+01	NA	1196	16.8	155	4	4.41	4	2.4	7.794684e+02	1.823369e+06	1.4	1.3	0.406	5.9
Angola	2002	Developing	46.5	391	96	2.82	2.403794e+01	NA	11945	16.3	157	37	3.63	41	2.3	7.111817e+02	1.757265e+07	1.5	1.5	0.401	5.5
Angola	2001	Developing	45.7	44	97	2.58	3.035994e+01	NA	9046	15.8	159	41	5.38	38	2.1	5.261687e+02	1.698327e+07	1.7	1.7	0.391	5.1
Angola	2000	Developing	45.3	48	97	1.85	1.588149e+01	NA	2219	15.4	160	3	2.79	28	2.0	5.552969e+02	1.644924e+06	1.9	1.9	0.382	4.6
Antigua and Barbuda	2015	Developing	76.4	13	0	NA	0.000000e+00	99	0	47.7	0	86	NA	99	0.2	1.356695e+04	NA	3.3	3.3	0.784	13.9
Antigua and Barbuda	2014	Developing	76.2	131	0	8.56	2.423000e+03	99	0	47.0	0	96	5.54	99	0.2	1.288830e+04	NA	3.3	3.3	0.782	13.9
Antigua and Barbuda	2013	Developing	76.1	133	0	8.58	1.991430e+03	99	0	46.4	0	98	5.33	99	0.2	1.222486e+04	NA	3.3	3.3	0.781	13.9
Antigua and Barbuda	2012	Developing	75.9	134	0	8.18	2.156230e+03	98	0	45.7	0	97	5.39	98	0.2	1.256544e+04	NA	3.3	3.3	0.778	13.8
Antigua and Barbuda	2011	Developing	75.7	136	0	7.84	1.810875e+03	99	0	45.1	0	99	5.65	99	0.1	1.192935e+04	NA	3.3	3.3	0.782	14.1
Antigua and Barbuda	2010	Developing	75.6	138	0	7.84	1.983957e+03	98	0	44.4	0	99	5.63	98	0.1	1.212688e+04	NA	3.3	3.3	0.783	14.1
Antigua and Barbuda	2009	Developing	75.4	14	0	7.82	1.493587e+02	98	0	43.8	0	98	4.86	99	0.1	1.312467e+03	NA	3.4	3.3	0.788	14.2
Antigua and Barbuda	2008	Developing	75.2	142	0	8.27	1.807763e+02	98	0	43.2	0	99	4.69	99	0.1	1.473319e+03	NA	3.4	3.3	0.786	14.4
Antigua and Barbuda	2007	Developing	75.0	144	0	8.64	2.579665e+02	97	0	42.6	0	98	4.27	99	0.1	1.425229e+04	NA	3.4	3.3	0.781	14.5
Antigua and Barbuda	2006	Developing	74.8	145	0	8.93	2.163147e+02	99	0	42.0	0	99	4.34	99	0.1	1.272439e+04	NA	3.4	3.4	0.773	14.7
Antigua and Barbuda	2005	Developing	74.6	147	0	8.15	1.455608e+03	99	0	41.4	0	98	4.41	99	0.1	1.137194e+04	NA	3.5	3.4	0.000	0.0
Antigua and Barbuda	2004	Developing	74.4	149	0	7.28	2.286295e+01	97	0	4.8	0	97	4.21	97	0.1	1.352837e+03	NA	3.5	3.4	0.000	0.0
Antigua and Barbuda	2003	Developing	74.2	151	0	7.16	1.158065e+03	99	0	4.1	0	99	4.53	99	0.1	9.739826e+03	NA	3.5	3.5	0.000	0.0
Antigua and Barbuda	2002	Developing	74.0	153	0	7.21	9.274076e+02	99	0	39.5	0	93	4.41	98	0.1	9.386716e+03	NA	3.6	3.5	0.000	0.0
Antigua and Barbuda	2001	Developing	73.8	154	0	7.51	1.637677e+02	96	0	38.9	0	99	4.48	97	0.1	9.358154e+03	NA	3.6	3.5	0.000	0.0
Antigua and Barbuda	2000	Developing	73.6	156	0	7.27	1.127743e+03	NA	0	38.2	0	96	4.13	95	0.1	9.875162e+03	NA	3.7	3.6	0.000	0.0
Argentina	2015	Developing	76.3	116	8	NA	0.000000e+00	94	0	62.8	9	93	NA	94	0.1	1.346712e+04	4.341777e+07	1.0	0.9	0.826	17.3
Argentina	2014	Developing	76.2	118	8	7.93	8.473717e+02	94	1	62.2	9	92	4.79	94	0.1	1.224526e+04	4.298152e+07	1.0	0.9	0.825	17.3
Argentina	2013	Developing	76.0	119	8	8.28	1.001796e+03	94	0	61.6	10	99	4.99	94	0.1	1.297664e+04	4.253993e+07	1.0	0.9	0.823	17.3
Argentina	2012	Developing	75.9	12	9	8.35	1.133558e+03	91	2	61.0	10	99	5.20	91	0.1	1.296977e+04	4.296739e+06	1.0	0.9	0.822	17.2
Argentina	2011	Developing	75.7	12	9	8.11	1.504329e+03	91	3	6.4	10	93	5.89	91	0.1	1.272698e+04	4.165688e+07	1.0	0.9	0.816	17.1
Argentina	2010	Developing	75.5	121	10	8.15	1.876110e+02	94	17	59.8	11	95	6.55	94	0.1	1.276265e+03	4.122389e+07	1.0	0.9	0.802	16.8
Argentina	2009	Developing	75.6	126	10	8.33	1.398043e+03	94	3	59.2	11	97	7.63	94	0.1	8.161370e+03	4.799470e+05	1.0	0.9	0.794	16.5
Argentina	2008	Developing	75.4	126	10	8.41	1.413735e+03	9	0	58.6	11	94	6.66	93	0.1	8.953359e+03	4.382389e+06	1.0	0.9	0.792	16.3
Argentina	2007	Developing	74.8	129	10	8.16	1.105659e+03	85	0	58.0	12	92	6.49	91	0.1	7.193618e+03	3.997224e+06	1.1	0.9	0.788	16.3
Argentina	2006	Developing	75.2	127	11	7.75	9.611775e+02	84	0	57.5	12	92	6.68	91	0.1	5.878761e+03	3.955889e+06	1.1	0.9	0.782	16.1
Argentina	2005	Developing	74.9	127	11	7.53	9.616653e+01	88	0	56.9	12	95	6.85	98	0.1	5.768838e+02	3.914549e+07	1.1	1.0	0.780	16.3
Argentina	2004	Developing	74.7	13	11	7.63	7.193664e+02	81	0	56.3	12	91	6.84	98	0.1	4.251574e+03	3.872870e+07	1.1	1.0	0.775	16.3
Argentina	2003	Developing	74.1	137	11	7.62	5.758467e+01	73	0	55.7	13	95	8.22	96	0.1	3.334376e+02	3.839379e+06	1.2	1.0	0.770	16.4
Argentina	2002	Developing	74.1	138	12	7.81	4.701869e+02	66	0	55.1	13	94	8.31	93	0.1	2.579193e+03	3.788937e+06	1.2	1.0	0.776	16.3
Argentina	2001	Developing	74.0	138	12	7.76	1.230129e+02	NA	0	54.6	13	85	9.38	83	0.1	7.176947e+02	3.747159e+06	1.2	1.1	0.771	15.6
Argentina	2000	Developing	74.1	137	12	7.68	1.349025e+03	NA	6	54.0	14	88	9.21	83	0.1	7.669274e+03	3.757452e+06	1.2	1.1	0.764	15.0
Armenia	2015	Developing	74.8	118	1	NA	0.000000e+00	94	33	54.9	1	96	NA	94	0.1	3.696548e+02	2.916950e+05	2.1	2.2	0.741	12.7
Armenia	2014	Developing	74.6	12	1	3.91	2.956087e+02	93	13	54.1	1	95	4.48	93	0.1	3.994712e+03	2.962200e+04	2.1	2.1	0.739	12.7
Armenia	2013	Developing	74.4	123	1	3.79	2.794291e+02	95	10	53.3	1	96	4.55	95	0.1	3.843591e+03	2.893590e+05	2.1	2.1	0.736	12.7
Armenia	2012	Developing	74.4	121	1	3.89	2.741527e+02	95	0	52.6	1	96	4.48	95	0.1	3.684848e+03	2.881922e+06	2.0	2.1	0.732	12.7
Armenia	2011	Developing	73.9	128	1	4.09	2.609964e+02	95	0	51.9	1	96	3.71	95	0.1	3.526978e+03	2.875581e+06	2.0	2.1	0.729	12.7
Armenia	2010	Developing	73.5	132	1	4.23	2.243212e+02	94	2	51.2	1	96	4.56	94	0.1	3.218382e+03	2.877311e+06	2.0	2.1	0.720	12.3
Armenia	2009	Developing	73.3	137	1	3.96	2.011855e+02	93	0	5.7	1	94	4.55	93	0.1	2.993833e+03	2.888584e+06	2.0	2.1	0.725	11.9
Armenia	2008	Developing	73.2	14	1	3.96	2.888898e+00	89	0	5.1	1	91	3.80	89	0.1	4.126997e+01	2.982200e+04	2.0	2.1	0.721	12.3
Armenia	2007	Developing	73.5	132	1	3.99	4.457220e+01	85	1	49.7	1	9	4.31	88	0.1	3.138887e+03	2.933560e+05	2.0	2.1	0.707	11.7
Armenia	2006	Developing	72.9	141	1	4.01	2.445353e+02	78	137	49.2	1	87	4.58	87	0.1	2.158299e+03	2.958500e+04	2.0	2.1	0.692	11.2
Armenia	2005	Developing	73.0	137	1	4.25	2.021823e+01	91	2281	48.8	1	92	5.25	9	0.1	1.643758e+03	2.981259e+06	2.0	2.1	0.679	10.9
Armenia	2004	Developing	73.0	132	1	3.81	9.774088e+01	91	1783	48.4	1	93	5.50	91	0.1	1.191962e+03	3.612000e+03	2.0	2.1	0.668	10.9
Armenia	2003	Developing	72.7	134	1	3.03	7.341493e+00	93	4	48.1	1	96	5.56	94	0.1	9.316616e+01	3.178600e+04	2.0	2.1	0.657	10.8
Armenia	2002	Developing	72.6	134	1	2.86	5.717810e+01	91	40	47.8	1	96	5.40	94	0.1	7.832617e+02	3.338970e+05	2.1	2.1	0.645	10.8
Armenia	2001	Developing	72.6	141	1	2.86	5.319373e+01	69	69	47.4	1	97	5.94	94	0.1	6.944351e+02	3.565500e+04	2.1	2.1	0.644	11.1
Armenia	2000	Developing	72.0	142	1	2.90	3.275627e+01	55	15	47.1	1	96	6.25	93	0.1	6.227427e+02	3.695880e+05	2.1	2.2	0.639	11.2
Australia	2015	Developed	82.8	59	1	NA	0.000000e+00	93	74	66.6	1	93	NA	93	0.1	5.655439e+04	2.378934e+07	0.6	0.6	0.937	20.4
Australia	2014	Developed	82.7	6	1	9.71	1.076936e+04	91	340	66.1	1	92	9.42	92	0.1	6.221469e+04	2.346694e+06	0.6	0.6	0.936	20.4
Australia	2013	Developed	82.5	61	1	9.87	1.173485e+04	91	158	65.5	1	91	9.36	91	0.1	6.779234e+04	2.311735e+07	0.6	0.6	0.933	20.3
Australia	2012	Developed	82.3	61	1	10.03	1.171500e+04	91	199	65.0	1	92	9.36	92	0.1	6.767763e+04	2.272825e+07	0.6	0.6	0.930	20.1
Australia	2011	Developed	82.0	63	1	10.30	1.098627e+04	92	190	64.4	1	92	9.20	92	0.1	6.224513e+04	2.234240e+05	0.6	0.6	0.927	19.8
Australia	2010	Developed	81.9	64	1	10.52	8.875786e+03	92	70	63.9	1	92	9.20	92	0.1	5.187485e+04	2.231750e+05	0.7	0.6	0.927	19.5
Australia	2009	Developed	81.7	66	1	10.62	7.172275e+03	94	104	63.4	1	92	9.50	92	0.1	4.274300e+04	2.169170e+05	0.7	0.6	0.925	19.1
Australia	2008	Developed	81.3	66	1	10.76	8.547292e+03	94	65	62.9	1	92	8.78	92	0.1	4.966469e+04	2.124920e+05	0.7	0.6	0.921	19.1
Australia	2007	Developed	81.3	66	1	10.56	8.725986e+02	94	11	62.5	2	92	8.53	92	0.1	4.991983e+03	2.827600e+04	0.7	0.6	0.918	19.0
Australia	2006	Developed	81.2	66	1	10.31	6.187062e+03	95	0	62.0	2	92	8.49	92	0.1	3.611828e+04	2.697900e+04	0.7	0.6	0.915	20.3
Australia	2005	Developed	81.0	67	1	10.30	5.791332e+02	95	10	61.5	2	92	8.45	92	0.1	3.416715e+03	2.394800e+04	0.7	0.6	0.910	20.3
Australia	2004	Developed	86.0	69	1	9.84	5.885684e+02	95	70	6.9	1	92	8.57	92	0.1	3.472380e+03	2.127400e+04	0.7	0.6	0.908	20.7
Australia	2003	Developed	83.0	71	1	9.97	3.829551e+03	95	91	6.3	1	92	8.32	93	0.1	2.346539e+04	1.989540e+05	0.7	0.7	0.905	20.6
Australia	2002	Developed	79.9	73	1	9.84	4.638718e+01	95	32	59.6	2	92	8.39	92	0.1	2.818176e+02	1.965140e+05	0.7	0.7	0.902	20.1
Australia	2001	Developed	79.9	75	1	9.53	3.064301e+03	94	141	59.0	2	91	8.18	92	0.1	1.951784e+04	1.941300e+04	0.7	0.7	0.899	20.5
Australia	2000	Developed	79.5	78	1	10.17	3.471874e+02	NA	108	58.2	2	9	8.80	9	0.1	2.169921e+03	1.915300e+04	0.7	0.7	0.897	20.4
Austria	2015	Developed	81.5	65	0	NA	0.000000e+00	93	309	57.6	0	93	NA	93	0.1	4.366595e+04	8.633169e+06	1.9	2.1	0.892	15.9
Austria	2014	Developed	81.4	66	0	12.32	8.350194e+03	98	117	57.1	0	98	11.21	98	0.1	5.132264e+04	8.541575e+06	1.8	2.0	0.892	15.9
Austria	2013	Developed	81.1	68	0	11.82	9.058501e+01	95	0	56.6	0	95	11.14	95	0.1	5.547153e+02	8.479375e+06	1.8	2.0	0.887	15.7
Austria	2012	Developed	88.0	7	0	12.26	7.878372e+03	92	36	56.1	0	92	11.17	92	0.1	4.833357e+04	8.429991e+06	1.8	2.0	0.884	15.7
Austria	2011	Developed	88.0	73	0	12.04	8.272307e+03	89	68	55.7	0	89	1.94	89	0.1	5.112674e+04	8.391643e+06	1.7	2.0	0.880	15.7
Austria	2010	Developed	84.0	75	0	12.10	7.423229e+03	86	52	55.2	0	86	11.17	86	0.1	4.665763e+04	8.363440e+05	1.7	1.9	0.872	15.4
Austria	2009	Developed	82.0	77	0	11.30	8.053558e+03	83	49	54.7	0	83	11.19	83	0.1	4.765419e+04	8.343323e+06	1.7	1.9	0.870	15.3
Austria	2008	Developed	84.0	76	0	12.00	8.329732e+03	83	448	54.2	0	83	1.60	83	0.1	5.138638e+04	8.321496e+06	1.7	1.9	0.864	15.1
Austria	2007	Developed	81.0	8	0	12.50	7.453864e+03	85	20	53.7	0	85	1.40	85	0.1	4.658665e+04	8.295487e+06	1.7	1.9	0.860	15.2
Austria	2006	Developed	79.8	81	0	12.40	6.992899e+01	83	23	53.2	0	83	1.35	83	0.1	4.439936e+02	8.268641e+06	1.7	1.9	0.854	15.0
Austria	2005	Developed	79.4	85	0	12.40	5.992588e+03	86	9	52.7	0	86	1.53	86	0.1	3.824243e+04	8.227829e+06	1.7	1.9	0.848	14.9
Austria	2004	Developed	79.3	86	0	12.10	5.316877e+03	83	15	52.2	0	83	1.56	83	0.1	3.669343e+04	8.171966e+06	1.7	1.9	0.841	14.7
Austria	2003	Developed	78.8	88	0	12.20	5.044309e+02	83	90	51.7	0	84	1.48	84	0.1	3.212936e+03	8.121423e+06	1.7	1.9	0.837	14.7
Austria	2002	Developed	78.7	9	0	12.50	3.979058e+03	81	0	51.2	0	82	1.27	83	0.1	2.635138e+04	8.819570e+05	1.7	1.9	0.847	16.1
Austria	2001	Developed	78.6	92	0	12.40	3.582848e+03	44	0	5.6	0	83	1.12	84	0.1	2.448974e+04	8.422930e+05	1.7	1.9	0.837	15.5
Austria	2000	Developed	78.1	96	0	13.20	3.557456e+03	33	0	5.1	0	71	1.60	81	0.1	2.451727e+04	8.115660e+05	1.7	1.9	0.833	15.4
Azerbaijan	2015	Developing	72.7	118	5	NA	0.000000e+00	96	0	52.5	6	98	NA	96	0.1	5.531382e+01	9.649341e+06	2.8	2.9	0.758	12.7
Azerbaijan	2014	Developing	72.5	119	5	0.01	3.061824e+02	94	0	51.5	6	97	6.40	94	0.1	7.891300e+03	9.535790e+05	2.8	2.9	0.752	12.2
Azerbaijan	2013	Developing	72.2	121	5	2.14	2.756515e+02	93	164	5.6	6	96	5.54	93	0.1	7.875757e+03	9.416810e+05	2.8	2.8	0.745	11.9
Azerbaijan	2012	Developing	71.9	123	5	0.01	2.856104e+02	88	0	49.7	6	92	5.37	89	0.1	7.496336e+03	9.295784e+06	2.8	2.8	0.742	11.8
Azerbaijan	2011	Developing	71.6	125	5	1.98	2.631427e+02	84	0	48.8	6	91	5.10	87	0.1	7.189691e+03	9.173820e+05	2.8	2.9	0.741	11.7
Azerbaijan	2010	Developing	71.1	13	5	1.98	2.465686e+02	8	0	48.0	6	85	5.33	81	0.1	5.842858e+03	9.543320e+05	2.8	2.9	0.737	11.7
Azerbaijan	2009	Developing	78.0	132	6	2.10	2.248638e+01	74	0	47.3	6	84	5.85	81	0.1	4.952948e+02	8.947243e+06	2.8	2.9	0.728	11.6
Azerbaijan	2008	Developing	73.0	141	6	1.18	2.062616e+02	68	5	46.6	6	85	4.37	81	0.1	5.574638e+03	8.763400e+04	2.8	2.9	0.719	11.6
Azerbaijan	2007	Developing	73.0	14	6	1.02	1.760107e+02	62	0	45.9	7	81	5.10	79	0.1	3.851438e+03	8.581300e+04	2.8	2.9	0.708	11.6
Azerbaijan	2006	Developing	69.2	154	6	0.85	1.056337e+02	52	222	45.3	7	8	6.17	78	0.1	2.473858e+03	8.484550e+05	2.9	2.9	0.682	10.7
Azerbaijan	2005	Developing	68.4	162	6	0.73	8.128883e+01	49	1238	44.7	7	79	7.86	75	0.1	1.578424e+03	8.391850e+05	2.9	3.0	0.675	11.2
Azerbaijan	2004	Developing	68.4	154	6	0.62	8.596805e+00	5	827	44.2	8	78	7.92	77	0.1	1.452163e+02	8.365000e+03	3.0	3.0	0.668	11.0
Azerbaijan	2003	Developing	67.8	154	7	0.55	4.241491e+01	51	1978	43.6	8	79	6.56	77	0.1	8.836440e+02	8.234100e+04	3.0	3.0	0.659	10.8
Azerbaijan	2002	Developing	67.8	146	7	0.55	3.933254e+01	5	4353	43.1	9	8	4.47	76	0.1	7.637386e+02	8.171950e+05	3.1	3.1	0.651	10.6
Azerbaijan	2001	Developing	67.5	151	8	0.51	4.104190e+00	NA	574	42.6	10	77	4.48	77	0.1	7.368384e+01	8.111200e+04	3.1	3.1	0.642	10.4
Azerbaijan	2000	Developing	66.6	16	9	0.65	3.509463e+01	NA	210	42.1	11	75	4.67	76	0.1	6.559743e+02	8.486000e+03	3.2	3.1	0.636	10.1
Bahamas	2015	Developing	76.1	147	0	NA	0.000000e+00	95	0	64.5	0	95	NA	95	0.1	NA	NA	2.5	2.5	0.790	12.6
Bahamas	2014	Developing	75.4	16	0	9.45	0.000000e+00	96	0	63.8	0	96	7.74	96	0.1	NA	NA	2.5	2.5	0.789	12.6
Bahamas	2013	Developing	74.8	172	0	9.42	0.000000e+00	97	0	63.2	0	97	7.50	97	0.1	NA	NA	2.5	2.5	0.790	12.6
Bahamas	2012	Developing	74.9	167	0	9.50	0.000000e+00	96	0	62.6	0	99	7.43	98	0.2	NA	NA	2.5	2.5	0.789	12.6
Bahamas	2011	Developing	75.0	162	0	9.34	0.000000e+00	95	0	62.0	0	97	7.63	98	0.1	NA	NA	2.5	2.5	0.788	12.6
Bahamas	2010	Developing	75.0	161	0	9.19	0.000000e+00	98	0	61.3	0	97	7.44	99	0.2	NA	NA	2.5	2.5	0.788	12.6
Bahamas	2009	Developing	74.6	168	0	9.29	0.000000e+00	95	0	6.7	0	97	7.43	96	0.1	NA	NA	2.5	2.5	0.791	12.6
Bahamas	2008	Developing	74.5	167	0	10.15	0.000000e+00	9	0	6.1	0	93	7.30	93	0.1	NA	NA	2.5	2.5	0.791	12.6
Bahamas	2007	Developing	74.4	167	0	10.75	0.000000e+00	93	0	59.4	0	95	7.80	95	0.1	NA	NA	2.5	2.5	0.790	12.5
Bahamas	2006	Developing	74.2	171	0	11.07	0.000000e+00	96	0	58.7	0	94	6.93	95	0.1	NA	NA	2.5	2.5	0.788	12.4
Bahamas	2005	Developing	74.1	172	0	10.49	0.000000e+00	93	0	58.1	0	93	5.95	93	0.1	NA	NA	2.6	2.5	0.786	12.4
Bahamas	2004	Developing	73.8	174	0	10.10	0.000000e+00	93	0	57.4	0	92	6.20	93	0.1	NA	NA	2.6	2.5	0.784	12.3
Bahamas	2003	Developing	73.2	189	0	10.68	0.000000e+00	88	0	56.7	0	93	5.62	92	0.1	NA	NA	2.6	2.5	0.783	12.2
Bahamas	2002	Developing	73.1	19	0	10.85	0.000000e+00	89	0	56.0	0	93	5.26	94	0.1	NA	NA	2.6	2.6	0.781	12.1
Bahamas	2001	Developing	72.9	189	0	11.64	0.000000e+00	21	0	55.2	0	98	5.15	99	0.2	NA	NA	2.7	2.6	0.779	12.1
Bahamas	2000	Developing	72.6	192	0	12.15	0.000000e+00	NA	0	54.4	0	91	5.21	99	0.1	NA	NA	2.7	2.6	0.000	12.0
Bahrain	2015	Developing	76.9	69	0	NA	0.000000e+00	98	0	63.6	0	98	NA	98	0.1	2.268888e+04	NA	6.2	6.1	0.823	14.5
Bahrain	2014	Developing	76.8	7	0	1.57	3.672557e+02	98	46	62.9	0	98	4.98	98	0.1	2.498338e+04	NA	6.1	6.0	0.820	14.5
Bahrain	2013	Developing	76.7	7	0	1.65	3.968696e+00	99	0	62.2	0	99	4.69	99	0.1	2.511833e+02	NA	6.1	6.0	0.815	14.5
Bahrain	2012	Developing	76.5	71	0	1.70	2.211216e+03	99	0	61.5	0	99	4.37	99	0.1	2.364937e+04	NA	6.1	6.0	0.812	14.5
Bahrain	2011	Developing	76.1	76	0	1.66	1.977735e+02	99	0	6.8	0	99	3.40	99	0.1	2.281124e+03	NA	6.1	6.0	0.812	14.4
Bahrain	2010	Developing	76.1	73	0	1.93	2.667696e+02	99	0	6.1	0	99	3.64	99	0.1	2.722139e+03	NA	6.0	5.9	0.810	14.4
Bahrain	2009	Developing	76.0	74	0	1.95	3.329348e+02	98	3	59.3	0	97	3.79	98	0.1	1.935667e+04	NA	6.0	5.9	0.814	14.4
Bahrain	2008	Developing	75.8	76	0	2.00	2.315479e+02	97	2	58.5	0	97	3.17	97	0.1	2.367565e+03	NA	6.0	5.9	0.815	14.4
Bahrain	2007	Developing	75.6	77	0	2.00	2.783603e+02	97	7	57.6	0	97	3.80	97	0.1	2.977115e+03	NA	6.1	5.9	0.813	14.4
Bahrain	2006	Developing	75.5	79	0	2.10	1.707374e+02	98	3	56.8	0	98	3.80	98	0.1	1.937995e+03	NA	6.1	5.9	0.810	14.2
Bahrain	2005	Developing	75.3	81	0	2.05	1.553469e+03	98	4	56.1	0	98	3.16	98	0.1	1.795918e+04	NA	6.1	5.9	0.806	14.0
Bahrain	2004	Developing	75.2	83	0	2.16	1.380228e+03	98	11	55.6	0	98	3.37	98	0.1	1.584648e+04	NA	6.1	5.9	0.803	13.9
Bahrain	2003	Developing	75.0	85	0	2.16	1.214558e+03	98	12	55.2	0	97	3.74	97	0.1	1.422199e+04	NA	6.1	5.9	0.798	13.7
Bahrain	2002	Developing	74.9	87	0	1.99	1.064303e+02	98	8	55.0	0	98	3.89	98	0.1	1.312335e+03	NA	6.2	5.9	0.796	13.5
Bahrain	2001	Developing	74.7	9	0	1.95	1.150418e+03	99	5	54.8	0	99	3.80	99	0.1	1.286821e+04	NA	6.2	6.0	0.794	13.3
Bahrain	2000	Developing	74.5	92	0	2.15	1.677271e+02	97	6	54.5	0	97	3.51	97	0.1	1.363635e+04	NA	6.2	6.0	0.786	13.2
Bangladesh	2015	Developing	71.8	129	92	NA	0.000000e+00	97	240	18.3	113	97	NA	97	0.1	1.211581e+02	1.612886e+06	17.9	18.3	0.575	10.2
Bangladesh	2014	Developing	71.4	132	98	0.01	1.044640e+01	97	289	17.7	121	97	2.82	97	0.1	1.845654e+02	1.594528e+07	18.1	18.6	0.570	10.0
Bangladesh	2013	Developing	71.0	135	104	0.01	5.282986e+01	96	237	17.0	130	96	2.88	96	0.1	9.518895e+02	1.575713e+08	18.3	18.8	0.565	10.0
Bangladesh	2012	Developing	77.0	137	111	0.01	5.925893e+01	94	1986	16.4	139	94	3.80	94	0.1	8.563429e+02	1.557275e+07	18.5	19.0	0.557	9.9
Bangladesh	2011	Developing	73.0	14	118	0.01	6.234988e+01	96	5625	15.8	150	96	3.16	96	0.1	8.357893e+02	1.539119e+08	18.7	19.2	0.545	9.4
Bangladesh	2010	Developing	69.9	142	126	0.01	6.265945e+01	94	788	15.2	161	94	3.60	94	0.1	7.576718e+02	1.521491e+07	18.9	19.4	0.535	8.9
Bangladesh	2009	Developing	69.5	144	135	0.01	5.326400e+01	97	718	14.6	173	97	2.91	97	0.1	6.811254e+02	1.545478e+06	19.1	19.7	0.523	8.4
Bangladesh	2008	Developing	69.1	147	144	0.01	4.248865e+01	96	2660	14.0	186	96	2.85	96	0.1	6.157775e+02	1.488581e+07	19.3	19.9	0.520	8.6
Bangladesh	2007	Developing	68.6	151	154	0.01	4.636537e+01	95	2924	13.5	201	96	2.80	94	0.1	5.416515e+02	1.471392e+08	19.5	2.1	0.513	8.6
Bangladesh	2006	Developing	68.2	152	164	0.01	4.233045e+01	86	6192	13.0	215	95	2.80	94	0.1	4.945147e+02	1.453684e+06	19.7	2.3	0.506	8.4
Bangladesh	2005	Developing	67.8	155	174	0.01	3.805462e+01	45	25934	12.5	231	94	2.68	93	0.1	4.841555e+02	1.434311e+07	19.9	2.5	0.499	8.2
Bangladesh	2004	Developing	67.3	158	185	0.01	4.114697e+00	11	9743	12.0	247	88	2.62	99	0.1	4.675792e+01	1.413749e+07	2.1	2.7	0.491	8.1
Bangladesh	2003	Developing	66.8	161	196	0.01	3.548459e+01	5	4067	11.6	264	9	2.51	87	0.1	4.327389e+02	1.391910e+05	2.3	2.9	0.484	7.9
Bangladesh	2002	Developing	66.3	164	207	0.01	3.972288e-01	NA	3484	11.2	280	83	2.59	83	0.1	4.613575e+00	1.366667e+06	2.5	21.1	0.476	7.7
Bangladesh	2001	Developing	65.8	168	219	0.01	3.395070e+00	NA	4414	1.8	298	85	2.47	85	0.1	4.259812e+01	1.341716e+06	2.7	21.3	0.468	7.5
Bangladesh	2000	Developing	65.3	173	231	0.01	3.696331e+00	NA	5098	1.4	316	83	2.33	82	0.1	4.563371e+01	1.315812e+08	2.9	21.5	0.459	7.3
Barbados	2015	Developing	75.5	98	0	NA	0.000000e+00	97	0	54.5	0	97	NA	97	0.1	1.555784e+04	NA	3.8	3.7	0.794	15.3
Barbados	2014	Developing	75.4	1	0	8.82	2.949057e+02	94	0	53.7	0	95	7.47	94	0.1	1.535967e+04	NA	3.8	3.7	0.793	15.3
Barbados	2013	Developing	75.2	11	0	8.74	2.630373e+02	91	0	53.0	0	91	7.57	91	0.1	1.547278e+04	NA	3.8	3.8	0.792	15.3
Barbados	2012	Developing	75.1	12	0	8.61	2.600044e+02	87	0	52.2	0	88	7.43	87	0.1	1.538487e+04	NA	3.8	3.8	0.785	15.3
Barbados	2011	Developing	74.9	14	0	8.51	1.739826e+02	91	0	51.4	0	91	6.67	91	0.1	1.553416e+04	NA	3.8	3.8	0.780	15.5
Barbados	2010	Developing	74.7	16	0	8.41	1.549631e+02	86	0	5.7	0	9	6.17	86	0.1	1.595912e+03	NA	3.8	3.8	0.781	15.8
Barbados	2009	Developing	74.6	19	0	8.46	3.271618e+02	93	0	49.9	0	93	6.21	93	0.1	1.652332e+04	NA	3.8	3.8	0.779	15.5
Barbados	2008	Developing	74.4	111	0	8.95	2.552277e+01	85	0	49.2	0	85	6.10	85	0.1	1.657323e+03	NA	3.9	3.9	0.775	15.3
Barbados	2007	Developing	74.2	113	0	8.47	1.641310e+03	93	0	48.4	0	93	5.64	93	0.1	1.646249e+04	NA	3.9	3.9	0.771	15.0
Barbados	2006	Developing	74.1	115	0	8.39	1.815001e+02	84	0	47.7	0	85	5.27	84	0.1	1.564656e+04	NA	4.0	3.9	0.766	14.8
Barbados	2005	Developing	73.9	117	0	8.01	1.311440e+03	92	0	46.9	0	91	5.38	92	0.1	1.422387e+04	NA	4.0	4.0	0.761	14.6
Barbados	2004	Developing	73.8	119	0	7.68	1.660083e+02	93	0	46.2	0	93	5.71	93	0.2	1.286886e+04	NA	4.1	4.0	0.757	14.4
Barbados	2003	Developing	73.7	121	0	7.65	1.351399e+01	91	0	45.4	0	9	5.82	89	0.4	1.228545e+03	NA	4.1	4.1	0.753	14.2
Barbados	2002	Developing	73.5	123	0	7.59	1.330995e+02	66	0	44.6	0	86	5.76	87	0.8	1.167539e+04	NA	4.2	4.1	0.749	14.0
Barbados	2001	Developing	73.4	125	0	7.38	1.381665e+02	18	0	43.8	0	93	5.47	84	0.7	1.151387e+04	NA	4.2	4.2	0.750	14.0
Barbados	2000	Developing	73.3	127	0	7.43	1.140616e+03	NA	0	43.0	0	86	5.16	93	0.9	1.156811e+04	NA	4.3	4.2	0.741	14.0
Belarus	2015	Developing	72.3	196	0	NA	0.000000e+00	99	2	62.3	0	99	NA	99	0.1	5.949117e+03	9.489616e+06	1.9	2.0	0.798	15.6
Belarus	2014	Developing	72.0	199	0	13.94	1.147111e+03	97	64	61.7	0	97	5.69	97	0.1	8.318429e+03	9.474511e+06	1.9	2.0	0.796	15.7
Belarus	2013	Developing	71.7	23	0	14.66	1.109855e+03	98	16	61.1	1	98	6.70	98	0.1	7.978825e+03	9.465997e+06	2.0	2.0	0.796	15.7
Belarus	2012	Developing	71.9	194	0	16.35	9.170962e+01	97	10	6.5	1	98	5.10	98	0.1	6.942439e+02	9.464495e+06	2.0	2.1	0.793	15.6
Belarus	2011	Developing	72.0	232	0	17.31	8.469113e+02	98	50	59.9	1	98	4.92	98	0.1	6.519718e+03	9.473172e+06	2.0	2.1	0.787	15.5
Belarus	2010	Developing	73.0	222	0	14.44	8.494095e+00	96	1	59.3	1	99	5.55	98	0.1	6.338877e+01	9.495830e+05	2.0	2.2	0.780	15.5
Belarus	2009	Developing	70.0	226	0	14.09	4.347985e+02	98	0	58.7	1	98	6.90	96	0.1	5.176173e+03	9.567650e+05	2.1	2.2	0.771	15.4
Belarus	2008	Developing	70.0	224	1	14.67	5.018056e+02	98	0	58.2	1	98	5.95	97	0.1	6.376183e+03	9.527985e+06	2.1	2.3	0.755	15.1
Belarus	2007	Developing	69.8	226	1	14.22	4.640775e+02	91	1	57.7	1	9	6.44	95	0.1	4.735485e+03	9.569530e+05	2.2	2.3	0.739	14.9
Belarus	2006	Developing	68.9	243	1	12.60	3.644261e+02	98	149	57.2	1	97	6.34	99	0.1	3.848216e+03	9.649240e+05	2.2	2.4	0.723	14.6
Belarus	2005	Developing	68.1	252	1	11.01	4.565008e+01	99	1	56.7	1	98	6.89	99	0.1	3.126718e+03	9.663915e+06	2.3	2.5	0.713	14.4
Belarus	2004	Developing	68.2	247	1	12.05	4.233444e+01	99	2	56.2	1	99	6.59	99	0.1	2.378339e+03	9.731460e+05	2.4	2.5	0.703	14.1
Belarus	2003	Developing	67.7	253	1	11.17	2.383579e+01	56	21	55.8	1	53	6.59	5	0.1	1.819526e+03	9.796749e+06	2.5	2.6	0.695	13.9
Belarus	2002	Developing	67.2	262	1	12.23	1.454234e+02	99	14	55.3	1	99	6.47	99	0.1	1.479383e+03	9.865548e+06	2.5	2.7	0.687	13.6
Belarus	2001	Developing	67.7	254	1	10.74	1.406142e+01	93	45	54.9	1	99	6.62	99	0.1	1.244373e+03	9.928549e+06	2.6	2.7	0.681	13.3
Belarus	2000	Developing	68.0	247	1	12.98	2.424948e+01	7	21	54.4	1	99	6.13	99	0.1	1.276288e+03	9.979610e+05	2.7	2.8	0.675	13.1
Belgium	2015	Developed	81.1	74	0	NA	0.000000e+00	98	47	63.7	1	99	NA	99	0.1	4.356875e+03	1.127420e+07	1.0	1.0	0.895	16.6
Belgium	2014	Developed	89.0	76	0	12.60	7.163349e+03	98	70	63.4	1	99	1.59	99	0.1	4.743940e+04	1.129570e+05	1.0	1.0	0.890	16.3
Belgium	2013	Developed	87.0	77	0	11.77	7.023594e+02	98	39	63.0	1	99	1.57	99	0.1	4.651386e+03	1.118282e+07	1.0	0.9	0.889	16.3
Belgium	2012	Developed	83.0	78	0	10.08	6.644739e+02	98	109	62.6	1	99	1.54	99	0.1	4.474572e+03	1.112825e+07	0.9	0.9	0.886	16.2
Belgium	2011	Developed	83.0	8	0	10.11	7.135297e+02	97	576	62.3	1	98	1.42	98	0.1	4.772774e+03	1.147744e+06	0.9	0.9	0.884	16.1
Belgium	2010	Developed	80.0	81	0	10.22	6.657356e+02	97	40	61.9	1	98	1.17	98	0.1	4.438237e+03	1.895586e+06	0.9	0.9	0.878	15.9
Belgium	2009	Developed	79.8	85	0	10.05	6.719377e+02	97	33	61.6	1	98	1.39	98	0.1	4.488561e+03	1.796493e+06	0.9	0.9	0.876	15.8
Belgium	2008	Developed	79.5	87	0	10.47	7.191052e+03	98	98	61.3	1	99	9.60	99	0.1	4.842459e+04	1.799730e+05	0.8	0.8	0.874	15.8
Belgium	2007	Developed	79.5	86	0	10.25	6.403561e+02	94	64	6.9	1	99	9.25	98	0.1	4.443831e+03	1.625700e+04	0.8	0.8	0.871	15.8
Belgium	2006	Developed	79.4	85	0	10.98	5.579199e+03	94	15	6.6	1	99	9.17	98	0.1	3.885236e+04	1.547958e+06	0.8	0.8	0.865	15.7
Belgium	2005	Developed	78.9	89	0	12.27	5.068214e+03	77	26	6.2	1	97	9.24	97	0.1	3.696728e+04	1.478617e+06	0.8	0.8	0.861	15.7
Belgium	2004	Developed	78.8	91	1	12.05	5.160508e+03	64	61	59.8	1	96	9.32	95	0.1	3.558971e+04	1.421137e+06	0.8	0.8	0.880	18.8
Belgium	2003	Developed	78.3	95	0	11.28	5.073062e+02	64	44	59.4	1	96	9.30	95	0.1	3.743957e+03	1.376133e+06	0.8	0.8	0.878	18.6
Belgium	2002	Developed	78.0	99	1	11.29	3.203178e+02	6	0	59.0	1	96	8.46	95	0.1	2.552333e+03	1.332785e+06	0.8	0.8	0.875	18.8
Belgium	2001	Developed	78.0	1	1	11.01	2.943375e+03	6	83	58.5	1	96	8.29	95	0.1	2.312157e+04	1.286570e+05	0.8	0.8	0.873	18.2
Belgium	2000	Developed	77.6	11	1	11.21	2.872085e+02	6	0	58.1	1	96	8.12	95	0.1	2.327459e+03	1.251250e+05	0.8	0.8	0.869	18.0
Belize	2015	Developing	71.0	175	0	NA	0.000000e+00	94	0	5.9	0	94	NA	94	0.2	4.849997e+03	3.592880e+05	3.5	3.4	0.706	12.8
Belize	2014	Developing	70.0	177	0	6.58	6.700921e+02	95	0	5.1	0	95	5.79	95	0.2	4.852224e+03	3.516940e+05	3.4	3.4	0.705	12.8
Belize	2013	Developing	69.8	18	0	6.56	6.292019e+02	95	0	49.3	0	95	5.79	95	0.2	4.688538e+03	3.441810e+05	3.4	3.4	0.706	12.9
Belize	2012	Developing	69.4	189	0	6.66	5.828027e+02	98	0	48.5	0	98	5.45	98	0.1	4.673638e+03	3.367100e+04	3.5	3.4	0.702	12.5
Belize	2011	Developing	69.4	188	0	6.64	6.056287e+02	95	0	47.8	0	95	5.61	95	0.5	4.516247e+03	3.291920e+05	3.5	3.4	0.700	12.4
Belize	2010	Developing	69.5	186	0	6.76	5.699527e+02	96	0	47.0	0	96	5.85	96	0.2	4.344152e+03	3.216800e+04	3.5	3.4	0.700	12.4
Belize	2009	Developing	69.5	184	0	6.85	5.498096e+02	97	0	46.3	0	98	5.81	97	0.3	4.258789e+03	3.139290e+05	3.5	3.4	0.700	12.7
Belize	2008	Developing	69.6	181	0	7.22	5.125232e+01	94	0	45.7	0	94	5.90	94	0.1	4.472280e+02	3.616500e+04	3.5	3.4	0.699	12.8
Belize	2007	Developing	69.6	181	0	7.24	6.963051e+01	96	0	45.0	0	97	4.76	96	0.6	4.324876e+03	2.984700e+04	3.5	3.5	0.700	12.8
Belize	2006	Developing	69.4	184	0	6.48	3.873325e+02	98	0	44.4	0	98	4.40	98	0.6	4.187378e+03	2.974700e+04	3.6	3.5	0.692	12.3
Belize	2005	Developing	69.0	191	0	6.25	3.657999e+02	96	0	43.8	0	96	4.45	96	0.8	3.933332e+03	2.832770e+05	3.6	3.5	0.695	12.8
Belize	2004	Developing	68.7	197	0	6.20	3.256807e+02	97	0	43.2	0	97	4.39	97	0.8	3.831538e+03	2.768900e+04	3.6	3.5	0.691	12.5
Belize	2003	Developing	68.4	21	0	5.67	3.127996e+02	96	0	42.6	0	95	4.53	96	1.5	3.679995e+03	2.691300e+04	3.6	3.6	0.684	12.2
Belize	2002	Developing	68.5	199	0	4.99	2.628299e+02	97	0	42.0	0	93	4.38	89	0.1	3.556562e+03	2.622600e+04	3.7	3.6	0.678	11.9
Belize	2001	Developing	68.2	21	0	4.90	2.516587e+02	96	0	41.4	0	96	4.50	96	0.4	3.419276e+03	2.549840e+05	3.7	3.7	0.677	11.8
Belize	2000	Developing	68.3	196	0	4.79	2.190240e+02	76	0	4.8	0	91	3.98	91	0.3	3.364424e+03	2.473150e+05	3.8	3.7	0.668	11.7
Benin	2015	Developing	60.0	249	25	NA	0.000000e+00	82	55	25.7	39	78	NA	82	1.0	7.839479e+02	1.575952e+06	6.9	6.8	0.481	10.7
Benin	2014	Developing	59.7	252	25	0.01	9.012207e+01	78	786	25.2	39	74	4.59	78	1.1	9.436866e+02	1.286712e+06	7.1	6.9	0.475	10.7
Benin	2013	Developing	59.5	251	25	0.01	8.740804e+01	77	637	24.6	39	73	4.59	77	1.2	9.152675e+02	1.445100e+04	7.2	7.1	0.466	10.3
Benin	2012	Developing	59.3	251	25	0.01	9.804075e+00	8	288	24.1	39	8	4.86	8	1.3	8.379551e+02	9.729160e+05	7.4	7.3	0.458	10.0
Benin	2011	Developing	59.1	251	25	1.40	1.102634e+02	75	426	23.5	39	77	5.37	75	1.4	8.259428e+02	9.468200e+04	7.6	7.5	0.454	9.8
Benin	2010	Developing	58.7	254	25	1.33	9.425738e+01	76	392	23.0	39	77	4.95	76	1.4	7.576960e+02	9.199259e+06	7.8	7.6	0.451	9.5
Benin	2009	Developing	58.4	259	25	1.16	7.101399e+01	79	1461	22.5	39	8	4.46	79	1.6	7.934524e+02	8.944760e+05	7.9	7.8	0.448	9.3
Benin	2008	Developing	57.6	278	25	1.28	7.615430e+00	75	928	22.0	39	77	4.20	75	1.8	8.215135e+01	8.696916e+06	8.1	8.0	0.444	9.1
Benin	2007	Developing	57.1	283	25	1.12	7.492818e+00	82	341	21.5	39	82	4.55	82	2.0	7.653542e+01	8.454791e+06	8.3	8.2	0.438	8.9
Benin	2006	Developing	56.8	284	25	1.19	7.591429e+01	74	176	21.0	39	76	4.75	74	2.0	6.258392e+02	8.216896e+06	8.5	8.4	0.434	8.7
Benin	2005	Developing	56.5	285	25	1.13	7.106997e+00	7	210	2.5	39	73	4.73	7	2.1	6.179998e+01	7.982225e+06	8.7	8.6	0.430	8.5
Benin	2004	Developing	56.1	285	25	1.15	1.073628e+01	75	262	2.1	39	74	4.56	72	2.1	5.834935e+02	7.754000e+03	8.9	8.8	0.423	8.1
Benin	2003	Developing	55.8	285	25	1.35	8.931827e+00	73	217	19.7	40	75	4.63	73	2.1	5.192923e+02	7.525550e+05	9.1	9.0	0.416	7.7
Benin	2002	Developing	55.6	283	25	1.23	4.048815e+01	15	1588	19.2	40	76	4.27	75	2.1	4.186986e+02	7.295394e+06	9.3	9.2	0.407	7.3
Benin	2001	Developing	55.5	281	25	1.29	4.533476e+01	NA	5859	18.8	40	77	4.69	76	2.1	3.787365e+02	7.767330e+05	9.5	9.4	0.395	6.6
Benin	2000	Developing	55.4	279	25	1.34	3.738182e+01	NA	4244	18.4	40	78	4.34	78	2.0	3.741924e+02	6.865951e+06	9.7	9.6	0.389	6.4
Bhutan	2015	Developing	69.8	211	0	NA	0.000000e+00	99	11	24.5	0	98	NA	99	0.5	2.613645e+03	7.873860e+05	15.4	16.0	0.604	12.5
Bhutan	2014	Developing	69.4	216	0	0.01	2.093921e+02	99	0	23.6	1	98	3.57	99	0.5	2.522797e+03	7.764480e+05	15.7	16.2	0.596	12.5
Bhutan	2013	Developing	69.1	219	0	0.01	1.979057e+01	97	0	22.7	1	97	3.83	97	0.6	2.358829e+02	7.649610e+05	15.9	16.5	0.589	12.6
Bhutan	2012	Developing	68.7	223	0	0.01	1.887374e+02	97	1	21.9	1	97	3.70	97	0.6	2.422816e+03	7.529670e+05	16.1	16.7	0.581	12.3
Bhutan	2011	Developing	68.3	225	0	0.23	2.898524e+02	95	10	21.1	1	95	4.73	95	0.5	2.458460e+03	7.451000e+03	16.3	17.0	0.572	11.9
Bhutan	2010	Developing	67.9	228	1	0.28	2.440392e+02	91	21	2.3	1	92	5.17	91	0.5	2.178921e+03	7.276410e+05	16.6	17.3	0.000	11.4
Bhutan	2009	Developing	67.4	232	1	0.17	2.748907e+01	93	6	19.5	1	93	6.30	93	0.4	1.772345e+02	7.144580e+05	16.8	17.5	0.000	10.9
Bhutan	2008	Developing	67.0	234	1	0.21	3.026676e+02	96	7	18.8	1	96	6.58	96	0.4	1.795181e+03	7.950000e+02	17.1	17.8	0.000	10.5
Bhutan	2007	Developing	66.5	238	1	0.16	2.838062e+02	95	11	18.0	1	93	5.88	95	0.3	1.741143e+03	6.869580e+05	17.3	18.1	0.000	10.1
Bhutan	2006	Developing	65.8	245	1	0.29	1.692024e+02	95	2	17.4	1	96	5.27	95	0.3	1.335457e+03	6.722280e+05	17.5	18.3	0.000	9.6
Bhutan	2005	Developing	65.0	254	1	0.73	1.455965e+02	95	11	16.7	1	95	5.28	95	0.3	1.247614e+03	6.566390e+05	17.8	18.6	0.000	9.2
Bhutan	2004	Developing	64.2	263	1	0.96	2.586698e+00	89	3	16.1	1	9	4.41	89	0.3	1.974579e+02	6.428200e+04	18.0	18.8	0.000	8.8
Bhutan	2003	Developing	63.3	273	1	0.52	1.915664e+01	95	0	15.5	1	96	4.90	95	0.2	9.977417e+02	6.234340e+05	18.3	19.1	0.000	8.4
Bhutan	2002	Developing	62.5	282	1	0.29	1.519755e+02	83	27	14.9	1	89	7.75	86	0.1	8.856382e+02	6.639900e+04	18.6	19.4	0.000	8.0
Bhutan	2001	Developing	61.7	29	1	0.14	8.574030e+00	89	756	14.4	1	88	5.91	88	0.1	8.793877e+01	5.896000e+03	18.9	19.6	0.000	7.6
Bhutan	2000	Developing	62.0	312	1	0.17	9.335873e+01	98	418	13.9	1	98	6.91	92	0.1	7.658632e+02	5.734160e+05	19.2	19.9	0.000	7.3
Bolivia (Plurinational State of)	2015	Developing	77.0	186	8	NA	0.000000e+00	99	0	52.6	10	99	NA	99	0.1	NA	NA	1.2	1.1	0.671	13.8
Bolivia (Plurinational State of)	2014	Developing	74.0	189	8	3.62	0.000000e+00	98	0	51.9	10	99	6.33	98	0.1	NA	NA	1.2	1.1	0.666	13.8
Bolivia (Plurinational State of)	2013	Developing	71.0	192	8	3.78	0.000000e+00	94	0	51.2	10	95	5.96	94	0.1	NA	NA	1.2	1.1	0.661	13.8
Bolivia (Plurinational State of)	2012	Developing	69.8	194	8	3.89	0.000000e+00	93	0	5.6	11	93	5.56	93	0.1	NA	NA	1.2	1.1	0.655	13.8
Bolivia (Plurinational State of)	2011	Developing	69.3	198	9	3.93	0.000000e+00	95	0	49.9	11	95	5.49	95	0.2	NA	NA	1.2	1.1	0.649	13.8
Bolivia (Plurinational State of)	2010	Developing	68.7	22	9	3.95	0.000000e+00	91	0	49.3	12	9	5.44	91	0.2	NA	NA	1.2	1.1	0.643	13.8
Bolivia (Plurinational State of)	2009	Developing	68.0	27	10	3.87	0.000000e+00	93	0	48.6	12	92	5.76	93	0.2	NA	NA	1.2	1.1	0.636	13.8
Bolivia (Plurinational State of)	2008	Developing	67.4	211	10	3.77	0.000000e+00	88	0	48.0	13	87	5.00	88	0.2	NA	NA	1.3	1.1	0.632	14.0
Bolivia (Plurinational State of)	2007	Developing	66.8	216	11	3.47	0.000000e+00	84	0	47.3	14	85	4.96	84	0.2	NA	NA	1.3	1.2	0.626	14.1
Bolivia (Plurinational State of)	2006	Developing	66.2	219	11	3.23	0.000000e+00	83	0	46.7	15	82	5.19	83	0.2	NA	NA	1.3	1.2	0.625	14.3
Bolivia (Plurinational State of)	2005	Developing	65.7	222	12	2.86	0.000000e+00	85	0	46.0	16	84	5.67	85	0.2	NA	NA	1.3	1.2	0.622	14.4
Bolivia (Plurinational State of)	2004	Developing	65.1	226	12	2.66	0.000000e+00	84	0	45.4	16	84	5.22	84	0.2	NA	NA	1.4	1.2	0.620	14.6
Bolivia (Plurinational State of)	2003	Developing	64.5	23	13	2.37	0.000000e+00	8	0	44.7	17	82	5.30	88	0.2	NA	NA	1.4	1.3	0.617	14.4
Bolivia (Plurinational State of)	2002	Developing	63.9	234	14	2.26	0.000000e+00	77	0	44.0	18	76	6.53	77	0.1	NA	NA	1.4	1.3	0.610	14.0
Bolivia (Plurinational State of)	2001	Developing	63.3	238	14	2.20	0.000000e+00	77	0	43.3	19	71	6.31	71	0.1	NA	NA	1.5	1.4	0.607	13.7
Bolivia (Plurinational State of)	2000	Developing	62.6	243	15	2.32	0.000000e+00	77	122	42.6	20	74	5.67	75	0.1	NA	NA	1.5	1.4	0.600	13.3
Bosnia and Herzegovina	2015	Developing	77.4	88	0	NA	0.000000e+00	82	1677	55.8	0	74	NA	82	0.1	4.574979e+03	3.535961e+06	2.3	2.3	0.747	14.2
Bosnia and Herzegovina	2014	Developing	77.2	89	0	4.03	7.328662e+02	89	3000	55.3	0	86	9.57	86	0.1	5.193949e+03	3.566200e+04	2.4	2.4	0.742	14.2
Bosnia and Herzegovina	2013	Developing	77.0	9	0	4.12	7.561063e+01	91	0	54.7	0	87	9.46	89	0.1	5.358655e+02	3.649990e+05	2.4	2.4	0.735	14.2
Bosnia and Herzegovina	2012	Developing	76.8	92	0	4.61	6.938226e+02	92	22	54.2	0	87	9.94	92	0.1	4.716673e+03	3.648200e+04	2.5	2.5	0.728	13.9
Bosnia and Herzegovina	2011	Developing	76.9	92	0	4.64	7.959131e+00	88	10	53.7	0	89	9.71	88	0.1	5.515683e+01	3.688865e+06	2.6	2.5	0.711	13.4
Bosnia and Herzegovina	2010	Developing	76.4	94	0	4.54	6.303884e+02	89	45	53.1	0	9	9.58	89	0.1	4.611473e+03	3.722840e+05	2.6	2.6	0.717	13.3
Bosnia and Herzegovina	2009	Developing	76.1	97	0	4.75	6.450213e+02	9	22	52.6	0	9	9.64	9	0.1	4.697897e+03	3.746561e+06	2.7	2.7	0.716	13.3
Bosnia and Herzegovina	2008	Developing	76.0	98	0	5.13	6.604635e+01	88	8	52.1	0	92	8.58	91	0.1	5.753166e+02	3.763599e+06	2.8	2.7	0.710	13.1
Bosnia and Herzegovina	2007	Developing	75.4	16	0	5.16	8.240356e+00	94	166	51.5	0	95	8.37	95	0.1	4.182922e+02	3.774000e+03	2.8	2.8	0.703	12.9
Bosnia and Herzegovina	2006	Developing	75.7	1	0	4.82	3.825414e+01	9	17	51.0	0	91	8.28	87	0.1	3.443217e+02	3.779468e+06	2.9	2.8	0.697	12.7
Bosnia and Herzegovina	2005	Developing	75.0	12	0	4.56	4.571354e+01	93	23	5.5	0	95	8.50	93	0.1	2.968412e+03	3.781530e+05	2.9	2.9	0.000	12.5
Bosnia and Herzegovina	2004	Developing	75.5	99	0	4.25	3.479919e+00	36	28	49.9	0	87	9.40	84	0.1	2.656427e+02	3.781287e+06	3.0	3.0	0.000	12.3
Bosnia and Herzegovina	2003	Developing	75.2	12	0	4.14	3.986518e+01	NA	18	49.4	0	87	7.94	87	0.1	2.214732e+03	3.779247e+06	3.0	3.0	0.000	12.1
Bosnia and Herzegovina	2002	Developing	75.4	11	0	3.84	1.511399e+02	NA	28	48.8	0	86	7.10	8	0.1	1.761538e+03	3.775870e+05	3.1	3.1	0.000	11.9
Bosnia and Herzegovina	2001	Developing	74.9	113	0	3.85	1.432947e+02	NA	0	48.2	0	92	7.16	91	0.1	1.524412e+03	3.771284e+06	3.2	3.2	0.000	11.6
Bosnia and Herzegovina	2000	Developing	74.6	116	0	3.64	1.656169e+02	NA	43	47.6	0	87	7.90	85	0.1	1.461755e+03	3.766760e+05	3.3	3.2	0.000	0.0
Botswana	2015	Developing	65.7	256	2	NA	0.000000e+00	95	0	37.9	2	96	NA	95	2.2	6.532651e+03	2.291970e+05	6.4	6.1	0.698	12.6
Botswana	2014	Developing	65.1	268	2	0.01	6.628022e+02	95	1	37.3	2	96	5.41	95	2.3	7.497762e+03	2.168573e+06	6.7	6.4	0.697	12.6
Botswana	2013	Developing	64.2	286	2	0.01	1.117811e+00	95	1	36.8	2	96	5.84	95	2.8	7.762578e+01	2.128570e+05	7.0	6.7	0.693	12.6
Botswana	2012	Developing	63.4	3	2	0.01	1.283447e+01	95	7	36.2	3	96	6.27	95	4.4	7.292315e+02	2.893150e+05	7.3	7.0	0.687	12.5
Botswana	2011	Developing	62.2	325	2	5.76	6.689563e+02	95	8	35.7	3	96	5.25	95	5.5	7.645215e+03	2.513390e+05	7.7	7.4	0.678	12.4
Botswana	2010	Developing	61.1	349	2	5.99	5.470387e+02	95	853	35.2	3	96	5.64	95	6.2	6.346156e+03	2.148660e+05	8.0	7.8	0.669	12.3
Botswana	2009	Developing	59.2	393	2	5.01	4.267856e+02	94	184	34.7	3	96	6.39	96	9.0	5.185730e+03	1.979882e+06	8.4	8.2	0.661	12.2
Botswana	2008	Developing	57.5	427	2	6.56	4.768626e+02	94	0	34.2	3	96	5.55	96	12.7	5.623380e+03	1.946351e+06	8.8	8.6	0.646	12.1
Botswana	2007	Developing	56.9	436	2	6.21	5.125888e+02	93	1	33.7	3	96	4.71	96	13.4	5.714479e+03	1.914414e+06	9.2	9.0	0.630	12.1
Botswana	2006	Developing	54.8	491	2	6.45	7.631868e+01	93	6	33.2	3	96	4.93	96	14.4	5.374555e+03	1.884238e+06	9.6	9.4	0.610	11.9
Botswana	2005	Developing	51.7	566	2	6.37	6.298426e+02	92	5	32.7	3	96	5.62	96	20.6	5.351254e+03	1.855852e+06	1.0	9.9	0.593	11.9
Botswana	2004	Developing	48.1	652	2	4.90	4.695824e+02	91	1	32.2	4	96	5.56	96	28.4	4.896584e+03	1.829330e+05	1.5	1.4	0.580	11.8
Botswana	2003	Developing	46.4	693	2	5.51	2.993671e+02	9	59	31.6	4	96	4.65	96	31.9	4.163660e+03	1.843390e+05	1.9	1.8	0.567	11.8
Botswana	2002	Developing	46.0	699	2	6.41	6.330007e+00	88	7	31.1	4	97	6.47	97	34.6	3.556184e+02	1.779953e+06	11.4	11.3	0.558	11.9
Botswana	2001	Developing	46.7	679	2	5.48	3.069527e+02	87	1	3.5	4	97	5.73	97	37.2	3.128978e+03	1.754935e+06	11.8	11.8	0.560	11.8
Botswana	2000	Developing	47.8	647	2	5.37	2.508916e+02	86	2672	29.9	4	97	4.64	97	38.8	3.349688e+03	1.728340e+05	12.3	12.2	0.559	11.7
Brazil	2015	Developing	75.0	142	42	NA	0.000000e+00	96	214	56.1	47	98	NA	96	0.1	8.757262e+03	2.596218e+06	2.7	2.6	0.754	15.2
Brazil	2014	Developing	74.8	144	44	7.32	8.316465e+01	96	876	55.3	49	96	8.32	93	0.1	1.226617e+03	2.421313e+07	2.7	2.7	0.747	15.2
Brazil	2013	Developing	74.7	146	46	7.24	9.162708e+02	96	220	54.5	52	96	8.48	97	0.1	1.221694e+04	2.248632e+06	2.8	2.7	0.734	14.2
Brazil	2012	Developing	74.5	148	49	7.55	8.431946e+02	96	2	53.6	54	96	8.26	95	0.1	1.229147e+04	2.569830e+05	2.8	2.8	0.730	14.2
Brazil	2011	Developing	74.1	152	51	7.58	1.085000e+03	98	43	52.8	57	98	8.90	99	0.1	1.316747e+04	1.986867e+08	2.9	2.8	0.724	14.0
Brazil	2010	Developing	73.8	154	54	7.52	1.111191e+03	96	68	52.0	61	99	8.27	99	0.1	1.122415e+04	1.967963e+08	2.9	2.9	0.716	13.8
Brazil	2009	Developing	73.6	157	57	7.33	5.645234e+02	99	0	51.1	64	99	8.65	99	0.1	8.553385e+03	1.948960e+08	3.0	2.9	0.714	13.8
Brazil	2008	Developing	73.4	158	61	7.21	5.263781e+02	96	0	5.3	68	99	8.24	99	0.1	8.787614e+03	1.929793e+07	3.0	3.0	0.704	13.3
Brazil	2007	Developing	73.3	159	65	7.19	3.949321e+02	99	0	49.4	73	99	8.28	99	0.1	7.313558e+03	1.912664e+07	3.1	3.0	0.700	13.5
Brazil	2006	Developing	73.0	161	70	7.10	3.030375e+01	99	57	48.6	79	99	8.36	99	0.1	5.861460e+02	1.891241e+07	3.1	3.1	0.698	13.8
Brazil	2005	Developing	72.7	163	75	6.97	2.376370e+01	98	6	47.8	85	99	8.27	99	0.1	4.771827e+02	1.869174e+08	3.2	3.1	0.694	13.8
Brazil	2004	Developing	72.0	17	81	6.85	1.866090e+02	96	0	46.9	93	99	7.70	99	0.1	3.623477e+03	1.847385e+08	3.2	3.2	0.695	14.0
Brazil	2003	Developing	71.8	172	88	6.95	1.585781e+01	97	2	46.1	100	99	6.94	99	0.1	3.595876e+02	1.824821e+08	3.3	3.3	0.699	14.8
Brazil	2002	Developing	71.4	176	95	7.00	1.409825e+02	92	1	45.3	109	99	7.13	99	0.1	2.819650e+03	1.815121e+06	3.3	3.3	0.692	14.6
Brazil	2001	Developing	71.0	179	103	7.13	1.494802e+02	91	1	44.5	118	99	7.19	98	0.1	3.146952e+03	1.777567e+06	3.4	3.4	0.685	14.3
Brazil	2000	Developing	75.0	183	111	7.26	1.794777e+02	94	36	43.7	127	99	7.30	98	0.1	3.739119e+03	1.752876e+08	3.4	3.4	0.677	14.1
Brunei Darussalam	2015	Developing	77.7	78	0	NA	0.000000e+00	99	4	41.2	0	99	NA	99	0.1	3.967895e+03	NA	5.7	5.1	0.864	14.9
Brunei Darussalam	2014	Developing	77.6	8	0	0.01	2.691433e+02	99	1	4.2	0	99	2.65	99	0.1	4.159865e+03	NA	5.7	5.2	0.863	15.0
Brunei Darussalam	2013	Developing	77.1	84	0	0.01	2.845306e+03	98	0	39.2	0	99	2.61	99	0.1	4.459728e+04	NA	5.8	5.2	0.860	14.9
Brunei Darussalam	2012	Developing	78.3	79	0	0.01	3.192634e+03	99	1	38.2	0	99	2.30	99	0.1	4.765126e+04	NA	5.8	5.3	0.852	14.4
Brunei Darussalam	2011	Developing	77.4	79	0	0.97	2.957730e+02	93	4	37.2	0	99	2.25	97	0.1	4.717273e+03	NA	5.9	5.4	0.846	14.1
Brunei Darussalam	2010	Developing	76.9	79	0	0.88	2.218364e+03	96	0	36.2	0	99	2.73	95	0.1	3.526811e+04	NA	5.9	5.4	0.845	14.2
Brunei Darussalam	2009	Developing	76.8	88	0	0.25	1.873687e+03	96	2	35.2	0	99	2.85	99	0.1	2.796548e+04	NA	6.0	5.5	0.841	14.1
Brunei Darussalam	2008	Developing	77.2	84	0	0.67	2.538941e+03	96	3	34.2	0	97	2.23	98	0.1	3.795129e+04	NA	6.1	5.6	0.840	14.2
Brunei Darussalam	2007	Developing	76.0	1	0	0.85	2.048557e+03	97	0	33.2	0	95	2.32	99	0.1	3.267237e+04	NA	6.2	5.7	0.840	14.3
Brunei Darussalam	2006	Developing	76.3	93	0	0.67	2.497533e+01	99	0	32.2	0	94	2.24	97	0.1	3.989669e+02	NA	6.3	5.8	0.837	14.3
Brunei Darussalam	2005	Developing	76.2	92	0	0.16	1.797148e+02	99	9	31.2	0	93	2.62	94	0.1	2.612133e+03	NA	6.4	5.9	0.834	14.1
Brunei Darussalam	2004	Developing	76.4	89	0	0.11	1.504300e+03	99	16	3.1	0	92	3.10	92	0.1	2.189665e+04	NA	6.5	6.0	0.828	13.7
Brunei Darussalam	2003	Developing	76.0	89	0	0.12	1.406512e+03	99	24	29.1	0	99	3.90	92	0.1	1.855557e+04	NA	6.6	6.1	0.823	13.4
Brunei Darussalam	2002	Developing	74.8	95	0	0.13	9.417037e+02	99	0	28.0	0	99	3.40	94	0.1	1.684622e+04	NA	6.7	6.1	0.820	13.3
Brunei Darussalam	2001	Developing	74.7	19	0	0.47	1.078662e+03	99	11	27.0	0	99	3.60	97	0.1	1.646813e+04	NA	6.8	6.2	0.819	13.4
Brunei Darussalam	2000	Developing	74.4	16	0	0.37	1.179686e+01	99	42	26.1	0	99	3.50	99	0.1	1.884483e+02	NA	6.8	6.3	0.818	13.4
Bulgaria	2015	Developed	74.5	137	0	NA	0.000000e+00	92	0	65.7	1	91	NA	91	0.1	6.993477e+03	7.177991e+06	1.9	1.8	0.792	15.0
Bulgaria	2014	Developed	74.3	138	1	12.03	1.531400e+02	95	0	65.1	1	88	8.44	88	0.1	7.853335e+03	7.223938e+06	1.9	1.9	0.787	14.8
Bulgaria	2013	Developed	74.1	14	1	12.06	1.496599e+02	95	14	64.5	1	95	7.93	95	0.1	7.674866e+03	7.265115e+06	1.9	1.9	0.781	14.4
Bulgaria	2012	Developed	73.9	139	1	10.99	8.514507e+02	95	1	63.9	1	95	7.11	95	0.1	7.378255e+03	7.358880e+05	1.9	1.9	0.778	14.3
Bulgaria	2011	Developed	73.7	144	1	10.67	8.751495e+02	96	157	63.3	1	95	6.88	95	0.1	7.813835e+03	7.348328e+06	2.0	2.0	0.775	14.2
Bulgaria	2010	Developed	73.4	147	1	10.80	7.664455e+02	95	22004	62.7	1	94	7.24	94	0.1	6.843263e+03	7.395599e+06	2.0	2.0	0.770	13.9
Bulgaria	2009	Developed	73.2	152	1	10.93	6.615144e+02	96	2249	62.1	1	94	6.78	94	0.1	6.955988e+03	7.444443e+06	2.0	2.1	0.768	13.8
Bulgaria	2008	Developed	72.9	155	1	10.98	1.079826e+02	96	1	61.5	1	96	6.61	95	0.1	7.296122e+03	7.492561e+06	2.1	2.1	0.761	13.8
Bulgaria	2007	Developed	72.6	157	1	10.89	5.915101e+02	95	1	6.9	1	95	6.41	95	0.1	5.932900e+03	7.545338e+06	2.1	2.2	0.755	13.5
Bulgaria	2006	Developed	72.2	161	1	10.39	5.086305e+02	96	1	6.3	1	96	6.67	95	0.1	4.513136e+03	7.612200e+04	2.2	2.2	0.750	13.5
Bulgaria	2005	Developed	72.1	16	1	10.48	4.563405e+02	96	3	59.7	1	97	7.80	96	0.1	3.893690e+03	7.658972e+06	2.2	2.3	0.745	13.5
Bulgaria	2004	Developed	72.2	157	1	10.96	3.841473e+02	94	0	59.1	1	94	7.90	95	0.1	3.381578e+03	7.716860e+05	2.3	2.3	0.738	13.3
Bulgaria	2003	Developed	72.0	155	1	11.19	3.238616e+01	96	0	58.6	1	96	7.43	96	0.1	2.714682e+02	7.775327e+06	2.3	2.4	0.729	12.9
Bulgaria	2002	Developed	71.8	157	1	10.20	3.326778e+01	88	0	58.1	1	94	7.41	93	0.1	2.875348e+02	7.837161e+06	2.4	2.4	0.723	12.9
Bulgaria	2001	Developed	71.6	16	1	10.72	2.506263e+01	93	8	57.5	1	94	7.23	94	0.1	1.764974e+03	8.914200e+04	2.4	2.5	0.713	12.9
Bulgaria	2000	Developed	71.1	163	1	9.69	1.523573e+01	94	46	57.0	1	94	6.70	93	0.1	1.692859e+02	8.171720e+05	2.5	2.5	0.709	12.9
Burkina Faso	2015	Developing	59.9	26	38	NA	0.000000e+00	91	99	19.4	61	91	NA	91	0.6	6.155922e+02	1.811624e+06	8.0	7.5	0.399	7.7
Burkina Faso	2014	Developing	59.3	268	39	0.01	8.386340e+00	91	343	18.8	63	91	4.96	91	0.6	7.514641e+01	1.758598e+07	8.2	7.7	0.398	7.7
Burkina Faso	2013	Developing	59.0	27	40	4.64	8.897040e+01	88	375	18.2	66	89	5.91	88	0.7	6.994528e+02	1.772723e+06	8.4	7.9	0.392	7.5
Burkina Faso	2012	Developing	58.6	271	41	4.75	7.876987e+01	9	7362	17.7	68	9	5.33	9	0.8	6.738227e+02	1.657122e+07	8.6	8.1	0.384	7.2
Burkina Faso	2011	Developing	58.1	275	42	4.51	8.555593e+01	91	860	17.1	71	9	5.17	91	0.9	6.668428e+02	1.681940e+05	8.8	8.4	0.377	6.7
Burkina Faso	2010	Developing	57.5	279	43	4.55	9.046018e+01	91	2511	16.6	74	9	7.17	91	1.0	5.754465e+02	1.565217e+06	9.0	8.6	0.365	6.3
Burkina Faso	2009	Developing	56.9	283	44	4.55	8.114305e+01	92	54118	16.1	77	91	7.41	92	1.1	5.527456e+02	1.514199e+06	9.3	8.8	0.356	5.9
Burkina Faso	2008	Developing	56.1	288	45	4.50	1.077988e+02	93	395	15.6	80	92	6.77	93	1.5	5.697613e+02	1.468973e+07	9.5	9.1	0.345	5.4
Burkina Faso	2007	Developing	55.3	293	46	4.58	7.392731e+01	89	12	15.1	83	93	6.63	89	1.7	4.751112e+02	1.425221e+06	9.8	9.3	0.334	4.9
Burkina Faso	2006	Developing	54.3	32	47	4.73	6.424025e+01	76	125	14.6	86	94	6.58	86	2.0	4.226332e+02	1.382918e+07	1.0	9.6	0.325	4.7
Burkina Faso	2005	Developing	53.3	313	48	4.88	8.769989e+00	NA	253	14.2	89	94	6.87	82	2.3	4.699887e+01	1.342193e+06	1.3	9.8	0.000	4.3
Burkina Faso	2004	Developing	52.4	323	49	4.54	5.696108e+01	NA	77	13.7	91	83	6.45	79	2.5	3.713239e+02	1.335690e+05	1.5	1.1	0.000	3.9
Burkina Faso	2003	Developing	51.6	332	49	4.58	4.160951e+01	NA	2946	13.3	92	83	5.61	79	2.9	3.323444e+02	1.265462e+07	1.7	1.3	0.000	3.8
Burkina Faso	2002	Developing	51.0	338	49	4.53	3.195567e+00	NA	1744	12.9	93	69	5.26	69	3.2	2.676354e+01	1.229310e+05	11.0	1.6	0.000	3.6
Burkina Faso	2001	Developing	56.0	344	48	4.56	2.310169e+01	NA	4174	12.5	93	62	4.85	62	3.6	2.354912e+02	1.194459e+07	11.2	1.8	0.000	3.5
Burkina Faso	2000	Developing	51.0	348	48	3.71	1.983930e+01	NA	6074	12.2	92	45	5.60	45	4.0	2.264760e+02	1.167942e+06	11.4	11.1	0.000	3.4
Burundi	2015	Developing	59.6	288	21	NA	0.000000e+00	94	9	18.7	31	94	NA	94	0.7	3.368122e+01	1.199270e+05	7.3	7.2	0.406	10.6
Burundi	2014	Developing	59.1	297	22	0.01	4.125159e+01	95	0	18.2	32	95	7.54	95	0.7	3.127490e+02	9.891790e+05	7.4	7.3	0.404	10.6
Burundi	2013	Developing	58.6	33	22	0.01	4.015128e+01	96	0	17.6	32	96	8.30	96	1.0	2.827555e+02	9.618600e+04	7.4	7.4	0.398	10.5
Burundi	2012	Developing	58.0	312	22	0.01	3.873171e+01	96	49	17.1	33	96	8.21	96	1.2	2.652857e+02	9.319710e+05	7.5	7.5	0.393	10.3
Burundi	2011	Developing	57.4	321	22	4.16	3.595980e+00	96	129	16.6	33	95	8.58	96	1.5	2.647997e+01	9.435800e+04	7.6	7.6	0.385	9.9
Burundi	2010	Developing	56.8	33	23	4.16	3.114188e+01	96	495	16.1	34	94	8.82	96	1.9	2.311943e+02	8.766930e+05	7.7	7.7	0.361	9.3
Burundi	2009	Developing	56.2	338	23	4.05	2.030495e+00	94	305	15.7	34	96	6.96	94	2.4	2.494465e+01	8.489310e+05	7.8	7.8	0.336	8.6
Burundi	2008	Developing	55.3	35	23	4.33	1.599415e+01	92	173	15.2	35	89	7.86	92	2.9	1.962473e+02	8.212264e+06	7.9	7.9	0.319	7.9
Burundi	2007	Developing	54.8	355	24	4.54	1.726595e+00	99	43	14.8	36	93	1.30	99	3.4	1.779995e+01	7.939573e+06	8.0	8.0	0.309	7.2
Burundi	2006	Developing	54.1	361	24	4.50	2.124915e+01	92	784	14.5	36	88	11.49	92	3.8	1.658794e+02	7.675338e+06	8.1	8.2	0.290	5.9
Burundi	2005	Developing	53.4	369	24	5.54	1.747441e+00	87	0	14.1	37	82	9.84	87	4.3	1.557434e+01	7.423289e+06	8.2	8.3	0.286	5.6
Burundi	2004	Developing	52.6	378	24	5.72	1.122655e+01	83	2	13.8	38	76	7.10	83	4.8	1.274297e+02	7.182451e+06	8.4	8.4	0.279	5.2
Burundi	2003	Developing	51.9	387	24	5.84	6.545264e+00	NA	224	13.5	38	75	5.25	82	5.1	1.128494e+02	6.953113e+06	8.5	8.5	0.276	4.7
Burundi	2002	Developing	51.5	387	24	5.98	9.660010e+00	NA	1016	13.3	39	74	5.15	81	5.2	1.224336e+02	6.741569e+06	8.7	8.7	0.268	4.4
Burundi	2001	Developing	51.3	385	25	6.09	1.061918e+01	NA	0	13.0	40	72	4.96	81	5.3	1.337428e+02	6.555829e+06	8.8	8.8	0.268	4.5
Burundi	2000	Developing	58.0	386	25	6.61	9.696689e+00	NA	18363	12.8	41	71	4.98	8	5.2	1.359984e+02	6.476000e+03	9.0	8.9	0.268	4.5
Côte d’Ivoire	2015	Developing	53.3	397	57	NA	0.000000e+00	83	65	28.0	79	81	NA	83	1.9	NA	NA	5.5	5.5	NA	NA
Côte d’Ivoire	2014	Developing	52.8	47	58	0.01	0.000000e+00	76	50	27.4	80	76	5.72	76	2.0	NA	NA	5.6	5.6	NA	NA
Côte d’Ivoire	2013	Developing	52.3	412	59	3.15	0.000000e+00	8	48	26.8	81	79	5.81	8	2.4	NA	NA	5.8	5.7	NA	NA
Côte d’Ivoire	2012	Developing	52.0	415	59	3.24	0.000000e+00	82	137	26.2	82	83	6.14	82	2.9	NA	NA	5.9	5.9	NA	NA
Côte d’Ivoire	2011	Developing	51.7	419	60	3.13	0.000000e+00	62	628	25.6	83	58	6.42	62	3.3	NA	NA	6.1	6.0	NA	NA
Côte d’Ivoire	2010	Developing	51.5	417	60	3.15	0.000000e+00	85	441	25.0	84	81	6.32	85	3.3	NA	NA	6.3	6.2	NA	NA
Côte d’Ivoire	2009	Developing	51.0	426	60	2.92	0.000000e+00	81	183	24.4	84	77	6.41	81	3.7	NA	NA	6.5	6.4	NA	NA
Côte d’Ivoire	2008	Developing	54.0	437	60	2.69	0.000000e+00	74	12	23.8	85	58	6.21	74	4.1	NA	NA	6.6	6.6	NA	NA
Côte d’Ivoire	2007	Developing	49.9	443	61	2.58	0.000000e+00	76	5	23.2	87	75	6.35	76	5.3	NA	NA	6.8	6.7	NA	NA
Côte d’Ivoire	2006	Developing	49.4	452	62	2.65	0.000000e+00	77	11	22.6	89	76	5.87	77	5.8	NA	NA	7.0	6.9	NA	NA
Côte d’Ivoire	2005	Developing	48.7	466	63	3.11	0.000000e+00	76	115	22.1	90	87	5.39	76	6.1	NA	NA	7.2	7.1	NA	NA
Côte d’Ivoire	2004	Developing	48.2	472	64	3.08	0.000000e+00	67	3466	21.5	91	76	5.24	67	6.5	NA	NA	7.3	7.3	NA	NA
Côte d’Ivoire	2003	Developing	48.0	473	64	3.12	0.000000e+00	63	4770	2.9	92	68	4.65	61	6.7	NA	NA	7.5	7.5	NA	NA
Côte d’Ivoire	2002	Developing	47.7	473	65	3.13	0.000000e+00	48	5882	2.4	93	7	4.47	64	6.9	NA	NA	7.7	7.7	NA	NA
Côte d’Ivoire	2001	Developing	47.8	467	65	3.15	0.000000e+00	1	5790	19.9	94	7	4.85	66	7.0	NA	NA	7.9	7.9	NA	NA
Côte d’Ivoire	2000	Developing	47.9	461	67	3.45	0.000000e+00	NA	5729	19.4	95	66	6.00	65	7.1	NA	NA	8.1	8.1	NA	NA
Cabo Verde	2015	Developing	73.3	114	0	NA	0.000000e+00	96	0	31.3	0	93	NA	93	0.2	2.954119e+03	5.329130e+05	6.6	6.6	0.646	13.5
Cabo Verde	2014	Developing	73.0	117	0	0.01	4.140242e+02	97	0	3.5	0	95	4.76	95	0.2	3.529618e+03	5.264370e+05	6.8	6.7	0.643	13.5
Cabo Verde	2013	Developing	72.8	12	0	0.01	3.256299e+02	94	0	29.7	0	93	4.29	93	0.2	3.558796e+03	5.216000e+03	6.9	6.9	0.643	13.6
Cabo Verde	2012	Developing	72.7	121	0	0.01	3.355889e+01	94	0	29.0	0	94	4.61	94	0.3	3.484828e+02	5.139790e+05	7.1	7.1	0.636	13.2
Cabo Verde	2011	Developing	72.6	122	0	5.07	4.409153e+00	9	0	28.2	0	9	4.60	9	0.3	3.674295e+02	5.867000e+03	7.3	7.2	0.632	13.1
Cabo Verde	2010	Developing	72.5	123	0	4.75	2.868907e+02	98	0	27.5	0	99	4.83	99	0.4	3.312826e+03	5.238400e+04	7.4	7.4	0.627	12.7
Cabo Verde	2009	Developing	72.4	124	0	4.45	3.399777e+02	98	0	26.8	0	99	4.24	99	0.4	3.444557e+03	4.969630e+05	7.6	7.6	0.621	12.4
Cabo Verde	2008	Developing	72.4	124	0	4.16	3.606209e+02	98	0	26.2	0	99	3.96	99	0.4	3.638959e+03	4.917230e+05	7.8	7.8	0.615	12.2
Cabo Verde	2007	Developing	72.3	126	0	5.28	3.454637e+02	96	0	25.5	0	98	4.30	98	0.6	3.112286e+03	4.864380e+05	8.1	8.0	0.602	11.9
Cabo Verde	2006	Developing	72.1	129	0	4.25	2.645133e+01	95	0	24.9	0	97	5.11	96	0.6	2.342899e+02	4.879500e+04	8.3	8.3	0.596	11.9
Cabo Verde	2005	Developing	71.8	134	0	4.26	3.349817e+00	93	0	24.3	0	95	4.86	95	0.8	2.481346e+02	4.745670e+05	8.5	8.5	0.582	11.2
Cabo Verde	2004	Developing	71.4	14	0	4.19	2.401397e+02	91	0	23.7	0	94	5.60	93	0.8	1.976459e+03	4.676640e+05	8.7	8.7	0.574	11.1
Cabo Verde	2003	Developing	71.1	144	0	4.16	2.090865e+02	66	0	23.2	0	93	5.00	92	0.9	1.768921e+03	4.614700e+04	8.9	8.9	0.572	11.3
Cabo Verde	2002	Developing	77.0	148	0	3.82	1.552073e+02	4	0	22.6	0	92	5.17	91	0.8	1.373516e+03	4.521600e+04	9.2	9.1	0.569	11.3
Cabo Verde	2001	Developing	73.0	152	0	3.81	1.507435e+02	NA	0	22.1	0	91	5.19	9	0.8	1.268885e+03	4.437160e+05	9.4	9.3	0.562	11.0
Cabo Verde	2000	Developing	69.9	155	0	3.49	1.225745e+02	NA	2	21.5	0	9	4.81	9	0.8	1.239378e+03	4.357900e+04	9.6	9.5	0.000	11.3
Cambodia	2015	Developing	68.7	174	10	NA	0.000000e+00	89	0	19.6	12	87	NA	89	0.2	1.163190e+03	1.551764e+07	1.9	1.9	0.558	10.9
Cambodia	2014	Developing	68.3	179	11	0.01	1.217952e+01	88	0	18.9	12	87	5.68	88	0.2	1.986871e+02	1.527790e+05	1.9	11.0	0.553	10.9
Cambodia	2013	Developing	67.8	183	11	0.01	8.758214e+00	83	0	18.2	13	66	5.93	83	0.2	1.284196e+02	1.522692e+06	11.0	11.1	0.546	10.8
Cambodia	2012	Developing	67.4	186	12	0.01	6.914724e+00	86	15	17.6	14	84	6.24	86	0.3	9.524413e+01	1.477687e+07	11.0	11.2	0.540	10.7
Cambodia	2011	Developing	67.0	19	13	2.12	6.018592e+01	88	722	17.0	15	87	5.64	88	0.3	8.824915e+02	1.453789e+07	11.0	11.2	0.533	10.7
Cambodia	2010	Developing	66.6	192	14	2.20	5.688416e+01	89	1156	16.4	16	88	5.95	89	0.5	7.856929e+02	1.438740e+05	11.0	11.3	0.519	10.6
Cambodia	2009	Developing	66.1	195	15	2.13	4.835424e+01	92	4779	15.9	17	95	6.36	94	0.6	7.382327e+02	1.492800e+04	11.1	11.4	0.520	10.5
Cambodia	2008	Developing	65.6	199	16	2.24	5.310009e+01	91	4211	15.3	18	91	5.55	91	0.7	7.457878e+02	1.388590e+05	11.2	11.4	0.511	10.5
Cambodia	2007	Developing	65.0	24	16	2.08	5.773517e+01	82	394	14.8	20	82	3.75	82	0.9	6.316758e+02	1.367669e+07	11.3	11.5	0.495	10.3
Cambodia	2006	Developing	64.1	216	17	2.03	5.150447e+01	8	188	14.3	21	8	4.48	8	1.1	5.398792e+02	1.347449e+07	11.4	11.6	0.483	10.1
Cambodia	2005	Developing	62.9	234	18	1.99	6.221817e+01	NA	264	13.9	22	82	5.84	82	1.4	4.742239e+02	1.327210e+05	11.5	11.6	0.470	10.0
Cambodia	2004	Developing	61.5	253	19	1.38	8.386119e+00	NA	352	13.5	24	86	6.43	85	1.7	4.861518e+01	1.363377e+06	11.6	11.7	0.458	9.7
Cambodia	2003	Developing	63.0	268	21	1.44	5.559544e+01	NA	653	13.1	26	69	6.74	69	1.9	3.624214e+02	1.285312e+07	11.6	11.7	0.445	9.3
Cambodia	2002	Developing	59.3	273	23	1.43	3.091061e+01	NA	1361	12.8	29	54	5.95	54	2.1	3.396770e+02	1.263473e+07	11.6	11.8	0.427	8.2
Cambodia	2001	Developing	58.5	273	25	1.71	2.768971e+01	NA	3761	12.4	33	59	5.70	6	2.2	3.212263e+02	1.242473e+06	11.6	11.8	0.412	7.6
Cambodia	2000	Developing	57.7	274	27	1.51	3.284181e-01	NA	12237	12.1	36	62	5.87	59	2.1	3.685949e+00	1.215235e+07	11.6	11.9	0.401	7.2
Cameroon	2015	Developing	57.3	357	45	NA	0.000000e+00	84	1809	29.0	68	83	NA	84	3.5	1.244429e+03	2.283452e+07	5.6	5.5	0.514	10.4
Cameroon	2014	Developing	56.7	366	47	0.01	6.139264e+01	87	831	28.4	71	86	4.10	87	3.7	1.441142e+03	2.223994e+06	5.7	5.7	0.507	10.4
Cameroon	2013	Developing	56.4	364	48	0.01	6.307890e+01	89	760	27.8	73	88	4.29	89	4.0	1.365344e+03	2.165572e+07	5.8	5.8	0.501	10.4
Cameroon	2012	Developing	55.9	369	50	0.01	6.855839e+01	85	609	27.2	76	85	4.34	85	4.6	1.255648e+03	2.182383e+06	5.9	5.9	0.496	10.4
Cameroon	2011	Developing	55.6	371	51	6.19	8.318071e+01	82	504	26.6	79	8	3.96	82	4.9	1.295650e+03	2.524470e+05	6.0	6.0	0.486	10.0
Cameroon	2010	Developing	55.3	37	53	6.15	1.008987e+02	84	240	26.0	82	83	5.28	84	5.5	1.182869e+03	1.997495e+06	6.1	6.2	0.480	9.7
Cameroon	2009	Developing	54.8	373	54	5.89	9.042541e+00	8	251	25.4	85	79	5.70	8	6.3	1.231954e+02	1.943254e+07	6.3	6.3	0.473	9.2
Cameroon	2008	Developing	54.2	382	56	5.90	6.870730e+01	84	495	24.9	87	82	5.18	84	6.7	1.233524e+03	1.897800e+04	6.4	6.5	0.466	8.8
Cameroon	2007	Developing	53.6	395	57	5.44	7.562893e+00	82	100	24.4	89	81	4.76	82	7.0	1.117119e+02	1.839539e+07	6.6	6.6	0.456	8.0
Cameroon	2006	Developing	53.3	394	58	5.22	9.624971e-01	81	196	23.8	91	78	4.69	81	7.2	1.298916e+01	1.789956e+07	6.7	6.8	0.456	8.2
Cameroon	2005	Developing	52.8	4	58	5.03	7.303276e+01	79	605	23.3	93	79	4.75	8	7.4	9.521872e+02	1.742795e+06	6.9	7.0	0.456	8.3
Cameroon	2004	Developing	52.1	412	59	4.71	7.177302e+00	NA	358	22.8	94	72	4.73	73	7.5	9.321172e+01	1.695981e+06	7.0	7.1	0.455	8.2
Cameroon	2003	Developing	51.8	412	60	4.64	6.763925e+01	NA	899	22.3	95	72	4.97	73	7.7	8.248689e+02	1.651382e+07	7.2	7.3	0.452	8.1
Cameroon	2002	Developing	51.6	47	60	4.58	5.370597e+01	NA	1448	21.8	97	66	4.86	66	7.8	6.763977e+02	1.684886e+06	7.4	7.5	0.452	8.4
Cameroon	2001	Developing	51.5	41	61	4.43	4.173629e+01	NA	23934	21.3	99	61	4.70	63	7.9	6.146729e+02	1.567193e+07	7.5	7.7	0.437	7.1
Cameroon	2000	Developing	51.4	394	62	3.91	4.720593e+00	NA	14629	2.9	100	57	4.48	62	7.7	6.841440e+01	1.527423e+07	7.7	7.8	0.433	6.9
Canada	2015	Developing	82.2	64	2	NA	0.000000e+00	55	195	67.0	2	91	NA	91	0.1	4.331574e+04	3.584861e+06	0.6	0.5	0.919	16.3
Canada	2014	Developing	82.0	65	2	8.10	1.021902e+02	55	418	66.4	2	91	1.45	91	0.1	5.444338e+02	3.554456e+07	0.5	0.5	0.912	15.9
Canada	2013	Developing	81.8	67	2	8.20	9.733228e+03	55	83	65.8	2	91	1.67	91	0.1	5.241372e+04	3.515545e+07	0.5	0.5	0.909	15.9
Canada	2012	Developing	81.6	68	2	8.30	9.748636e+03	7	10	65.3	2	99	1.78	95	0.1	5.249669e+04	3.475545e+06	0.5	0.5	0.907	15.9
Canada	2011	Developing	81.5	68	2	8.20	9.719280e+02	7	803	64.7	2	87	1.82	87	0.1	5.282218e+03	3.434278e+06	0.5	0.5	0.903	15.9
Canada	2010	Developing	81.2	7	2	8.40	8.649675e+03	56	99	64.1	2	88	11.20	89	0.1	4.744748e+04	3.452740e+05	0.5	0.4	0.898	15.9
Canada	2009	Developing	81.0	72	2	8.40	8.649499e+02	42	14	63.6	2	89	11.17	91	0.1	4.773454e+03	3.362857e+07	0.5	0.4	0.898	15.9
Canada	2008	Developing	87.0	74	2	8.30	8.433937e+03	28	62	63.0	2	89	1.30	92	0.1	4.659634e+04	3.324577e+07	0.5	0.4	0.897	15.8
Canada	2007	Developing	85.0	74	2	8.30	7.946744e+03	14	101	62.5	2	9	9.83	94	0.1	4.454453e+04	3.288793e+07	0.5	0.4	0.894	15.8
Canada	2006	Developing	85.0	75	2	8.20	7.711818e+02	14	13	61.9	2	95	9.75	95	0.1	4.386699e+03	3.257550e+05	0.5	0.4	0.891	15.8
Canada	2005	Developing	81.0	76	2	8.00	6.333178e+03	14	6	61.3	2	93	9.57	93	0.1	3.618959e+04	3.231200e+04	0.5	0.4	0.886	15.8
Canada	2004	Developing	80.0	77	2	7.80	5.513330e+03	14	7	6.6	2	91	9.56	91	0.1	3.197987e+04	3.199500e+04	0.5	0.4	0.881	15.8
Canada	2003	Developing	79.7	78	2	7.70	4.687846e+03	14	15	6.0	2	88	9.54	91	0.1	2.817215e+04	3.167600e+04	0.5	0.4	0.877	15.8
Canada	2002	Developing	79.5	79	2	7.70	3.895856e+03	NA	6	59.3	2	88	9.37	88	0.1	2.416784e+04	3.136200e+04	0.5	0.4	0.872	15.8
Canada	2001	Developing	79.4	8	2	7.60	3.665090e+03	NA	34	58.5	2	88	9.10	89	0.1	2.369159e+04	3.181900e+04	0.5	0.4	0.867	15.8
Canada	2000	Developing	79.1	82	2	7.60	3.787495e+03	NA	206	57.8	2	88	8.67	89	0.1	2.412417e+04	3.769700e+04	0.5	0.5	0.864	15.9
Central African Republic	2015	Developing	52.5	397	15	NA	0.000000e+00	47	150	22.7	21	47	NA	47	4.4	3.483814e+02	4.546100e+04	8.2	8.2	0.347	7.1
Central African Republic	2014	Developing	58.0	437	15	0.01	5.343964e+01	47	210	22.1	22	47	4.20	47	4.5	3.771323e+02	4.515392e+06	8.4	8.3	0.345	7.1
Central African Republic	2013	Developing	49.9	451	16	0.01	5.237767e+01	23	596	21.6	23	23	3.82	23	5.1	3.374850e+02	4.499653e+06	8.5	8.5	0.370	7.1
Central African Republic	2012	Developing	53.0	439	16	0.01	7.344808e+00	47	141	21.2	23	47	3.62	47	5.1	4.864111e+02	4.494160e+05	8.7	8.6	0.366	7.1
Central African Republic	2011	Developing	49.8	443	16	1.66	5.852947e+01	47	679	2.7	24	47	3.73	47	5.8	4.943368e+02	4.476153e+06	8.8	8.8	0.361	6.8
Central African Republic	2010	Developing	49.2	446	17	1.67	4.348359e+01	45	2	2.2	24	46	3.90	45	6.6	4.464434e+02	4.448525e+06	9.0	8.9	0.352	6.6
Central African Republic	2009	Developing	48.6	453	17	1.56	4.045157e+01	42	11	19.8	25	45	3.58	42	7.3	4.499618e+02	4.442300e+04	9.1	9.1	0.345	6.4
Central African Republic	2008	Developing	47.6	477	17	1.52	6.734138e+01	NA	12	19.4	25	46	4.30	45	8.3	4.568614e+02	4.345386e+06	9.3	9.2	0.338	6.3
Central African Republic	2007	Developing	46.8	495	17	1.50	6.004885e+01	NA	49	19.0	26	46	4.40	48	9.0	3.971485e+02	4.275800e+04	9.4	9.4	0.330	6.2
Central African Republic	2006	Developing	46.3	56	17	1.54	4.690118e+01	NA	3	18.6	26	47	3.99	51	10.0	3.476737e+02	4.217580e+05	9.6	9.6	0.323	6.0
Central African Republic	2005	Developing	45.9	511	17	1.50	4.092208e+01	NA	471	18.2	26	47	4.29	54	11.2	3.271149e+02	4.127910e+05	9.7	9.7	0.319	5.9
Central African Republic	2004	Developing	45.7	512	17	1.50	4.150112e+01	NA	1233	17.9	26	45	4.10	51	12.0	3.132160e+02	4.553600e+04	9.9	9.9	0.315	5.7
Central African Republic	2003	Developing	45.7	51	17	1.49	4.611619e+01	NA	652	17.5	26	44	4.31	47	12.8	2.862582e+02	3.981665e+06	1.0	1.1	0.316	5.6
Central African Republic	2002	Developing	45.6	58	17	1.47	3.159416e+01	NA	938	17.2	25	42	4.16	44	13.4	2.537683e+02	3.976120e+05	1.2	1.2	0.315	5.4
Central African Republic	2001	Developing	45.6	54	17	1.52	3.365316e+01	NA	2837	16.8	25	4	3.95	4	13.9	2.431586e+02	3.832230e+05	1.4	1.4	0.314	5.3
Central African Republic	2000	Developing	46.0	49	16	1.51	3.078383e+01	NA	3207	16.5	25	38	4.24	37	14.3	2.435429e+02	3.754986e+06	1.5	1.5	0.312	5.2
Chad	2015	Developing	53.1	356	46	NA	0.000000e+00	46	418	19.1	77	52	NA	46	2.8	7.772488e+02	1.494130e+05	8.5	8.4	0.394	7.3
Chad	2014	Developing	52.6	362	46	0.01	1.130207e+01	37	1275	18.7	78	44	3.62	37	2.9	1.259985e+02	1.356944e+07	8.7	8.5	0.390	7.3
Chad	2013	Developing	52.2	366	46	0.64	7.652383e+01	39	226	18.2	78	46	3.42	39	3.1	9.861318e+02	1.313359e+07	8.8	8.7	0.387	7.3
Chad	2012	Developing	51.8	367	46	0.62	5.782427e+01	4	120	17.9	79	51	3.00	4	3.6	9.734726e+02	1.275135e+06	9.0	8.9	0.381	7.3
Chad	2011	Developing	51.6	365	46	0.56	6.776269e+01	33	8650	17.5	79	4	3.17	33	3.9	9.892364e+02	1.228865e+07	9.2	9.1	0.370	6.7
Chad	2010	Developing	51.2	364	46	0.50	4.357329e+01	39	194	17.1	80	43	2.95	39	4.1	8.965697e+02	1.188722e+06	9.4	9.3	0.360	6.7
Chad	2009	Developing	57.0	37	46	0.47	4.982900e+00	24	165	16.7	80	32	3.31	24	4.4	8.445594e+01	1.152786e+06	9.6	9.5	0.343	6.3
Chad	2008	Developing	49.6	394	46	0.45	4.909198e+01	17	63	16.4	80	3	2.92	19	4.7	9.297724e+02	1.113386e+07	9.8	9.7	0.338	6.0
Chad	2007	Developing	49.4	394	46	0.42	5.962923e+00	NA	441	16.1	80	38	3.35	28	4.9	8.168388e+01	1.775780e+05	1.0	1.0	0.306	5.7
Chad	2006	Developing	48.5	414	45	0.41	6.267226e+01	NA	1594	15.7	80	49	3.32	4	5.1	7.121848e+02	1.421597e+06	1.3	1.2	0.303	5.5
Chad	2005	Developing	48.6	46	45	0.42	8.936065e+00	NA	2	15.4	79	37	3.91	25	5.2	6.624214e+01	1.679000e+03	1.5	1.4	0.306	5.6
Chad	2004	Developing	48.5	45	44	0.34	7.238451e+01	NA	10324	15.1	78	31	5.72	21	5.2	4.546766e+02	9.714300e+04	1.7	1.6	0.301	5.6
Chad	2003	Developing	48.4	43	44	0.42	3.979243e+00	NA	15801	14.8	77	36	5.49	23	5.1	2.925914e+02	9.353210e+05	1.9	1.8	0.284	5.4
Chad	2002	Developing	48.1	43	43	0.36	3.039691e+00	NA	7277	14.4	76	31	8.33	25	5.0	2.285482e+01	9.168900e+04	11.1	11.0	0.303	5.1
Chad	2001	Developing	48.0	4	42	0.30	2.687439e+01	NA	24908	14.1	75	26	6.90	26	4.8	1.973156e+02	8.663120e+05	11.3	11.2	0.300	4.9
Chad	2000	Developing	47.6	44	41	0.25	2.152702e+01	NA	3546	13.9	74	3	6.28	36	4.6	1.662318e+02	8.342559e+06	11.5	11.4	0.000	4.7
Chile	2015	Developing	85.0	82	2	NA	0.000000e+00	97	9	63.8	2	96	NA	96	0.1	1.365323e+04	1.776268e+07	0.8	0.8	0.845	16.3
Chile	2014	Developing	83.0	83	2	7.16	2.353000e+03	95	0	63.1	2	95	7.79	95	0.1	1.481738e+04	1.761380e+07	0.8	0.8	0.841	16.2
Chile	2013	Developing	81.0	84	2	7.20	2.442222e+03	9	0	62.5	2	9	7.53	91	0.1	1.594140e+04	1.746298e+07	0.8	0.8	0.831	15.6
Chile	2012	Developing	79.9	84	2	6.76	2.260778e+03	9	0	61.8	2	9	7.24	9	0.1	1.543193e+04	1.739746e+06	0.8	0.8	0.826	15.5
Chile	2011	Developing	79.8	86	2	7.26	2.116143e+02	94	6	61.2	2	93	7.00	94	0.1	1.475692e+03	1.715336e+07	0.8	0.8	0.820	15.4
Chile	2010	Developing	79.1	89	2	7.93	1.774925e+02	92	0	6.6	2	92	6.97	92	0.1	1.286178e+03	1.699335e+07	0.8	0.9	0.815	15.2
Chile	2009	Developing	79.3	91	2	7.67	1.815259e+02	94	1	59.9	2	94	7.39	94	0.1	1.243328e+03	1.682944e+07	0.8	0.9	0.816	15.3
Chile	2008	Developing	79.6	88	2	7.31	2.415533e+02	95	0	59.3	2	95	6.87	95	0.1	1.781367e+03	1.666194e+07	0.9	0.9	0.804	15.2
Chile	2007	Developing	78.9	9	2	7.39	2.094876e+02	92	0	58.7	2	95	6.35	96	0.1	1.526877e+03	1.649169e+07	0.9	0.9	0.797	14.8
Chile	2006	Developing	78.9	91	2	7.33	1.275690e+03	95	0	58.1	2	94	6.18	94	0.1	9.484681e+03	1.631979e+07	0.9	0.9	0.796	14.9
Chile	2005	Developing	78.4	93	2	7.57	9.549645e+02	NA	0	57.4	2	92	6.69	91	0.1	7.615347e+03	1.614764e+06	0.9	1.0	0.790	14.6
Chile	2004	Developing	78.0	97	2	6.32	7.878565e+01	NA	0	56.8	2	94	6.93	93	0.1	6.218283e+02	1.597378e+07	0.9	1.0	0.781	14.3
Chile	2003	Developing	77.9	1	2	6.37	5.840993e+02	NA	1	56.1	2	96	7.34	96	0.1	4.787700e+03	1.579954e+07	1.0	1.0	0.775	14.0
Chile	2002	Developing	77.8	11	2	6.06	6.757808e+02	NA	0	55.4	3	97	6.48	97	0.1	4.463546e+03	1.562364e+07	1.0	1.0	0.768	13.9
Chile	2001	Developing	77.3	16	2	6.10	6.875117e+02	NA	0	54.7	3	96	6.51	97	0.1	4.595666e+03	1.544497e+07	1.0	1.0	0.761	13.7
Chile	2000	Developing	77.3	13	2	6.24	7.414843e+01	NA	0	54.0	3	91	6.40	91	0.1	5.113685e+02	1.526275e+07	1.1	1.1	0.755	13.5
China	2015	Developing	76.1	85	157	NA	0.000000e+00	99	42361	32.9	183	99	NA	99	0.1	8.692119e+02	1.371220e+05	3.6	2.9	0.734	13.5
China	2014	Developing	75.8	86	171	5.78	1.098744e+02	99	52628	31.9	198	99	5.55	99	0.1	7.683524e+03	1.364270e+05	3.7	3.0	0.723	13.1
China	2013	Developing	75.6	88	185	5.79	9.955532e+00	99	26883	3.9	216	99	5.39	99	0.1	7.777759e+02	1.357380e+05	3.8	3.2	0.713	12.7
China	2012	Developing	75.4	89	201	5.74	9.443446e+01	99	6183	3.0	233	99	5.26	99	0.1	6.337883e+03	1.356950e+05	3.9	3.3	0.703	12.4
China	2011	Developing	75.2	91	215	5.63	9.126750e+01	99	9943	29.0	251	99	5.30	99	0.1	5.633796e+03	1.344130e+05	4.1	3.5	0.700	12.8
China	2010	Developing	75.0	92	231	5.75	5.660755e+00	99	38159	28.1	268	99	4.89	99	0.1	4.565125e+02	1.337750e+05	4.2	3.6	0.691	12.5
China	2009	Developing	74.9	93	248	4.88	5.028349e+01	99	52461	27.3	288	99	5.80	99	0.1	3.838434e+03	1.331260e+05	4.4	3.8	0.682	12.2
China	2008	Developing	74.5	97	266	4.27	3.922510e+01	95	131441	26.5	308	99	4.59	97	0.1	3.471248e+03	1.324655e+06	4.5	4.0	0.672	11.9
China	2007	Developing	74.4	96	285	3.88	3.126625e+02	92	109023	25.7	332	94	4.32	93	0.1	2.695366e+03	1.317885e+06	4.7	4.1	0.659	11.4
China	2006	Developing	74.2	98	307	3.28	2.974343e+01	91	99602	24.9	360	94	4.52	93	0.1	2.992297e+02	1.311200e+04	4.8	4.3	0.646	11.0
China	2005	Developing	73.9	99	332	2.92	1.716596e+02	84	124219	24.1	392	87	4.66	87	0.1	1.753418e+03	1.337200e+04	5.0	4.4	0.634	10.6
China	2004	Developing	73.5	11	360	3.04	1.586685e+00	79	70549	23.4	427	87	4.72	87	0.1	1.586685e+02	1.296750e+05	5.1	4.6	0.622	10.2
China	2003	Developing	73.1	13	391	2.96	1.229365e+02	75	71879	22.6	467	87	4.82	86	0.1	1.288643e+03	1.288400e+04	5.3	4.7	0.610	9.9
China	2002	Developing	72.7	16	422	2.91	1.063590e+02	7	58341	21.9	511	86	4.79	86	0.1	1.148586e+03	1.284000e+03	5.5	4.9	0.600	9.7
China	2001	Developing	72.2	11	457	2.84	1.423065e+01	65	88962	21.2	558	86	4.56	86	0.1	1.531824e+02	1.271850e+05	5.7	5.0	0.592	9.6
China	2000	Developing	71.7	115	490	3.06	1.746057e+01	6	71093	2.5	608	86	4.60	85	0.1	9.593722e+02	1.262645e+06	5.9	5.1	0.583	9.5
Colombia	2015	Developing	74.8	143	10	NA	0.000000e+00	91	1	57.9	12	91	NA	91	0.1	6.445256e+02	4.822870e+07	2.1	1.9	0.724	13.6
Colombia	2014	Developing	74.6	144	11	4.38	1.435488e+03	9	0	57.2	12	9	7.20	9	0.1	7.913383e+03	4.779191e+07	2.1	1.9	0.720	13.6
Colombia	2013	Developing	74.4	145	11	4.41	1.516255e+01	91	1	56.4	13	91	6.84	91	0.1	8.358630e+01	4.734298e+07	2.1	1.9	0.712	13.3
Colombia	2012	Developing	74.3	143	11	4.44	1.487897e+03	92	1	55.7	13	91	6.93	91	0.1	7.884984e+03	4.688148e+07	2.1	1.9	0.707	13.2
Colombia	2011	Developing	74.2	144	12	4.37	1.843074e+02	85	6	55.0	14	85	6.64	85	0.1	7.227740e+03	4.646646e+06	2.2	2.0	0.700	13.0
Colombia	2010	Developing	73.6	15	12	4.28	1.132436e+02	88	0	54.2	15	88	6.76	88	0.1	6.256554e+02	4.591897e+06	2.2	2.0	0.695	12.8
Colombia	2009	Developing	73.6	15	13	4.34	9.416464e+02	92	0	53.5	15	92	7.10	92	0.1	5.148422e+03	4.541618e+07	2.2	2.0	0.691	12.4
Colombia	2008	Developing	73.5	146	14	4.45	9.780704e+02	92	0	52.8	16	92	6.62	92	0.1	5.433725e+03	4.491544e+06	2.3	2.0	0.683	12.2
Colombia	2007	Developing	73.5	144	14	4.66	7.805947e+02	93	0	52.0	17	93	6.25	93	0.1	4.674220e+03	4.437457e+07	2.3	2.1	0.675	11.9
Colombia	2006	Developing	73.1	147	15	4.53	6.243711e+01	93	0	51.3	17	94	6.11	93	0.1	3.797878e+02	4.383572e+07	2.3	2.1	0.669	11.5
Colombia	2005	Developing	73.1	144	15	4.38	5.319808e+02	93	0	5.5	18	93	5.82	93	0.1	3.386256e+03	4.328563e+07	2.4	2.1	0.658	11.1
Colombia	2004	Developing	72.8	148	16	4.26	4.217956e+01	89	0	49.8	19	89	5.37	89	0.1	2.742494e+02	4.272416e+07	2.4	2.2	0.658	11.3
Colombia	2003	Developing	72.4	15	16	4.25	4.178039e+02	92	0	49.0	19	92	5.92	92	0.1	2.246257e+03	4.215215e+07	2.5	2.2	0.659	11.6
Colombia	2002	Developing	71.8	163	17	4.45	3.938774e+02	78	139	48.2	20	83	5.67	81	0.1	2.355726e+03	4.157249e+07	2.5	2.3	0.656	11.5
Colombia	2001	Developing	71.5	165	17	4.43	4.044206e+02	8	3	47.5	21	83	5.96	8	0.1	2.395857e+03	4.988990e+05	2.5	2.3	0.653	11.4
Colombia	2000	Developing	71.4	167	18	4.66	4.771342e+02	78	1	46.7	21	82	5.91	79	0.1	2.472198e+03	4.439580e+05	2.6	2.3	0.650	11.3
Comoros	2015	Developing	63.5	227	1	NA	0.000000e+00	91	0	24.2	2	92	NA	91	0.8	7.276464e+02	7.774240e+05	6.7	6.5	0.498	11.1
Comoros	2014	Developing	63.2	23	1	0.01	7.386585e+01	88	0	23.7	2	87	6.75	87	0.8	8.529544e+02	7.593850e+05	6.8	6.6	0.497	11.1
Comoros	2013	Developing	62.9	233	1	0.01	6.157444e+01	88	0	23.2	2	85	6.51	87	0.8	8.343419e+02	7.415000e+03	6.8	6.6	0.490	10.9
Comoros	2012	Developing	62.5	237	2	0.01	7.839009e+01	89	1	22.6	2	85	7.11	86	0.8	7.886327e+02	7.238680e+05	6.9	6.7	0.484	10.8
Comoros	2011	Developing	62.2	241	2	0.12	5.965965e+01	83	3	22.1	2	85	6.10	83	0.2	8.297587e+02	7.656900e+04	7.0	6.8	0.479	10.6
Comoros	2010	Developing	61.8	246	2	0.15	4.730422e+01	74	0	21.6	2	82	5.82	74	0.1	7.691743e+02	6.896920e+05	7.1	6.9	0.476	10.5
Comoros	2009	Developing	61.3	251	2	0.17	5.698952e+01	83	1	21.1	2	84	3.82	83	0.1	7.785454e+02	6.732520e+05	7.2	7.0	0.465	10.3
Comoros	2008	Developing	61.0	255	2	0.12	9.336789e+01	81	0	2.6	2	81	5.13	81	0.1	7.959752e+02	6.572290e+05	7.2	7.1	0.461	10.2
Comoros	2007	Developing	66.0	259	2	0.16	9.087638e+00	75	0	2.1	2	75	4.93	75	0.1	7.275931e+01	6.416200e+04	7.3	7.2	0.459	10.0
Comoros	2006	Developing	63.0	262	2	0.25	7.702840e+01	69	85	19.6	2	69	4.57	69	0.1	6.483872e+02	6.264250e+05	7.4	7.3	0.451	9.9
Comoros	2005	Developing	60.0	266	2	0.24	6.996754e+01	68	912	19.2	2	67	4.32	68	0.1	6.219337e+02	6.116270e+05	7.5	7.4	0.434	9.7
Comoros	2004	Developing	59.8	269	2	0.27	7.212111e+00	77	0	18.8	2	73	3.96	76	0.1	6.164197e+02	5.972280e+05	7.5	7.5	0.000	9.5
Comoros	2003	Developing	59.6	271	2	0.26	4.509011e+01	28	0	18.4	2	8	3.65	8	0.1	5.445665e+02	5.832110e+05	7.6	7.6	0.000	9.2
Comoros	2002	Developing	59.5	271	2	0.08	2.941897e+01	NA	0	18.0	2	98	3.39	89	0.1	4.332691e+02	5.694790e+05	7.7	7.7	0.000	8.8
Comoros	2001	Developing	59.5	272	1	0.08	1.971741e+01	NA	0	17.6	2	7	2.86	7	0.1	3.959319e+02	5.558880e+05	7.8	7.8	0.000	8.5
Comoros	2000	Developing	59.5	272	1	0.09	3.502949e+01	NA	0	17.3	2	7	3.56	7	0.1	3.758529e+02	5.423570e+05	7.9	7.9	0.000	8.2
Congo	2015	Developing	64.7	267	7	NA	0.000000e+00	8	1359	27.4	10	8	NA	8	2.8	NA	NA	7.5	7.1	0.590	11.1
Congo	2014	Developing	64.2	275	7	0.01	0.000000e+00	9	71	26.8	10	9	5.15	9	3.0	NA	NA	7.6	7.3	0.581	11.1
Congo	2013	Developing	63.9	274	7	0.01	0.000000e+00	85	124	26.2	10	85	5.90	85	3.0	NA	NA	7.7	7.4	0.576	11.1
Congo	2012	Developing	63.7	273	7	0.01	0.000000e+00	62	260	25.6	10	61	3.98	85	3.3	NA	NA	7.9	7.5	0.557	10.2
Congo	2011	Developing	62.9	285	7	3.82	0.000000e+00	7	315	25.0	10	69	2.79	82	3.5	NA	NA	8.0	7.6	0.558	10.7
Congo	2010	Developing	62.0	298	7	3.53	0.000000e+00	74	4	24.5	10	72	2.29	74	3.8	NA	NA	8.1	7.7	0.548	10.5
Congo	2009	Developing	68.0	314	7	3.47	0.000000e+00	75	1	23.9	11	76	2.27	78	4.0	NA	NA	8.3	7.9	0.545	10.3
Congo	2008	Developing	59.4	338	8	2.58	0.000000e+00	73	2	23.3	11	77	2.90	79	4.3	NA	NA	8.4	8.0	0.527	10.0
Congo	2007	Developing	58.2	354	8	2.75	0.000000e+00	64	84	22.8	11	71	2.54	72	5.0	NA	NA	8.5	8.2	0.517	9.8
Congo	2006	Developing	56.9	368	8	2.25	0.000000e+00	NA	126	22.3	12	73	2.37	73	5.5	NA	NA	8.7	8.3	0.507	9.6
Congo	2005	Developing	55.3	394	8	2.03	0.000000e+00	NA	146	21.7	13	62	2.42	62	5.9	NA	NA	8.8	8.5	0.496	9.4
Congo	2004	Developing	54.1	48	9	2.58	0.000000e+00	NA	3524	21.2	13	67	2.56	67	6.3	NA	NA	9.0	8.6	0.497	9.2
Congo	2003	Developing	53.2	417	9	2.45	0.000000e+00	NA	3712	2.7	14	5	2.61	5	6.8	NA	NA	9.1	8.8	0.492	9.4
Congo	2002	Developing	52.6	424	9	2.55	0.000000e+00	NA	2788	2.3	14	41	2.45	41	7.2	NA	NA	9.3	8.9	0.488	9.5
Congo	2001	Developing	52.7	419	9	2.30	0.000000e+00	NA	2152	19.8	14	32	2.44	31	7.6	NA	NA	9.4	9.0	0.487	9.7
Congo	2000	Developing	52.9	416	9	2.26	0.000000e+00	NA	1678	19.3	14	31	2.13	33	7.8	NA	NA	9.5	9.2	0.487	9.8
Cook Islands	2013	Developing	NA	NA	0	0.01	0.000000e+00	98	0	82.8	0	98	3.58	98	0.1	NA	NA	0.1	0.1	NA	NA
Costa Rica	2015	Developing	79.6	95	1	NA	0.000000e+00	92	0	6.5	1	92	NA	92	0.1	1.146363e+03	4.878520e+05	1.7	1.7	0.775	14.2
Costa Rica	2014	Developing	79.5	96	1	3.45	3.845129e+02	91	1	59.5	1	91	9.31	91	0.1	1.647442e+03	4.757575e+06	1.7	1.7	0.768	13.9
Costa Rica	2013	Developing	79.4	96	1	3.42	3.861379e+02	94	0	58.5	1	95	9.47	95	0.1	1.569666e+03	4.764100e+04	1.7	1.7	0.762	13.7
Costa Rica	2012	Developing	79.2	97	1	3.34	2.568237e+03	91	0	57.5	1	9	9.56	91	0.1	9.985370e+03	4.654122e+06	1.8	1.7	0.758	13.6
Costa Rica	2011	Developing	79.0	98	1	3.41	2.429855e+03	84	0	56.5	1	82	9.73	85	0.1	9.186596e+03	4.647400e+04	1.8	1.7	0.752	13.4
Costa Rica	2010	Developing	78.1	16	1	3.58	2.377010e+03	89	0	55.5	1	93	9.66	88	0.1	8.199415e+03	4.545280e+05	1.8	1.8	0.749	13.3
Costa Rica	2009	Developing	79.2	96	1	4.07	2.488720e+01	87	0	54.4	1	8	9.69	86	0.1	6.893962e+02	4.488263e+06	1.9	1.8	0.747	13.1
Costa Rica	2008	Developing	78.9	99	1	4.22	1.859096e+03	89	0	53.4	1	89	9.10	9	0.1	6.911136e+03	4.429580e+05	1.9	1.8	0.740	12.9
Costa Rica	2007	Developing	78.9	93	1	4.20	1.508891e+02	89	0	52.4	1	89	8.37	89	0.1	6.126234e+02	4.369469e+06	1.9	1.9	0.734	12.8
Costa Rica	2006	Developing	78.0	16	1	4.15	1.185412e+03	88	0	51.4	1	89	7.82	89	0.1	5.245187e+03	4.387940e+05	2.0	1.9	0.727	12.6
Costa Rica	2005	Developing	78.6	97	1	4.10	1.002833e+03	9	1	5.3	1	91	7.74	91	0.1	4.697111e+03	4.247841e+06	2.0	2.0	0.723	12.4
Costa Rica	2004	Developing	77.7	12	1	4.09	1.043108e+03	89	0	49.3	1	9	7.80	9	0.1	4.425575e+03	4.187380e+05	2.1	2.0	0.719	12.2
Costa Rica	2003	Developing	78.0	1	1	4.04	1.070269e+03	86	1	48.3	1	88	8.45	88	0.1	4.167714e+03	4.125971e+06	2.2	2.1	0.715	12.1
Costa Rica	2002	Developing	78.3	99	1	4.17	1.129494e+02	94	0	47.3	1	94	8.23	94	0.1	4.621497e+02	4.632400e+04	2.2	2.2	0.712	11.9
Costa Rica	2001	Developing	77.5	1	1	4.29	8.683714e+02	8	0	46.4	1	92	7.25	91	0.1	3.981528e+03	3.996798e+06	2.3	2.2	0.708	11.7
Costa Rica	2000	Developing	77.6	98	1	4.34	9.417819e+01	89	0	45.4	1	8	7.12	88	0.1	3.883637e+02	3.925443e+06	2.4	2.3	0.702	11.6
Croatia	2015	Developed	78.0	95	0	NA	0.000000e+00	94	206	63.7	0	94	NA	94	0.1	1.157967e+04	4.236400e+04	1.5	1.4	0.823	15.3
Croatia	2014	Developed	77.8	97	0	12.14	1.884099e+03	95	0	63.1	0	95	7.80	95	0.1	1.346747e+04	4.238389e+06	1.5	1.5	0.820	15.1
Croatia	2013	Developed	77.7	97	0	12.39	1.899107e+03	96	0	62.5	0	96	7.83	96	0.1	1.357475e+04	4.255689e+06	1.5	1.5	0.817	14.9
Croatia	2012	Developed	77.1	14	0	11.49	1.851713e+03	98	2	61.9	0	96	7.80	96	0.1	1.323598e+04	4.267558e+06	1.5	1.5	0.815	14.6
Croatia	2011	Developed	77.0	14	0	12.19	1.913357e+03	97	12	61.3	0	96	7.80	96	0.1	1.453918e+04	4.286220e+05	1.6	1.5	0.808	14.5
Croatia	2010	Developed	76.6	16	0	12.10	2.068868e+02	97	7	6.6	0	97	8.25	97	0.1	1.355746e+03	4.417781e+06	1.6	1.6	0.803	14.2
Croatia	2009	Developed	76.3	19	0	12.21	2.160380e+03	97	2	6.0	0	96	8.18	96	0.1	1.415714e+04	4.429780e+05	1.7	1.6	0.803	14.2
Croatia	2008	Developed	76.0	116	0	12.06	2.425404e+03	97	51	59.4	0	96	7.70	96	0.1	1.589387e+04	4.434580e+05	1.7	1.7	0.800	14.3
Croatia	2007	Developed	75.8	114	0	12.56	2.019813e+03	95	0	58.7	0	96	7.44	96	0.1	1.354670e+04	4.436000e+03	1.8	1.7	0.793	14.3
Croatia	2006	Developed	75.9	113	0	11.83	1.555652e+03	NA	1	58.1	0	96	6.95	96	0.1	1.136342e+04	4.440000e+02	1.8	1.8	0.783	13.9
Croatia	2005	Developed	75.2	116	0	11.59	1.672320e+02	NA	2	57.5	0	96	6.89	96	0.1	1.224246e+03	4.442000e+03	1.8	1.8	0.777	13.6
Croatia	2004	Developed	75.4	114	0	13.11	1.116397e+03	NA	54	56.9	0	96	6.56	96	0.1	9.365742e+03	4.439000e+03	1.9	1.9	0.771	13.3
Croatia	2003	Developed	74.7	122	0	13.78	9.367706e+01	NA	19	56.3	0	95	6.35	94	0.1	7.858814e+02	4.440000e+02	1.9	1.9	0.765	12.9
Croatia	2002	Developed	74.8	124	0	13.39	1.163615e+01	NA	6	55.8	0	95	6.19	95	0.1	6.537164e+02	4.440000e+02	2.0	2.0	0.759	12.6
Croatia	2001	Developed	74.9	126	0	13.15	6.509568e+02	NA	8	55.2	0	94	7.16	94	0.1	5.245421e+03	4.440000e+02	2.0	2.0	0.749	12.3
Croatia	2000	Developed	74.7	127	0	12.73	6.493910e+02	NA	9	54.7	0	94	7.66	93	0.1	4.919629e+03	4.426000e+03	2.1	2.1	0.739	12.2
Cuba	2015	Developing	79.1	92	1	NA	0.000000e+00	99	0	61.4	1	99	NA	99	0.1	7.622612e+02	NA	3.5	3.3	0.773	13.9
Cuba	2014	Developing	79.0	93	1	4.37	1.366910e+01	97	0	6.7	1	99	11.60	99	0.1	7.551990e+01	NA	3.4	3.3	0.772	14.0
Cuba	2013	Developing	78.7	96	1	4.18	9.567571e+01	96	0	59.9	1	99	9.48	99	0.1	6.761534e+02	NA	3.4	3.3	0.773	14.7
Cuba	2012	Developing	78.7	96	1	4.16	7.421962e+02	96	0	59.2	1	98	8.59	99	0.1	6.425941e+03	NA	3.4	3.2	0.778	15.7
Cuba	2011	Developing	78.8	92	1	4.14	1.020646e+02	96	0	58.4	1	99	1.60	97	0.1	6.759244e+02	NA	3.4	3.2	0.780	16.5
Cuba	2010	Developing	78.0	98	1	4.13	7.872808e+02	96	0	57.7	1	99	1.19	96	0.1	5.676141e+03	NA	3.4	3.2	0.784	17.6
Cuba	2009	Developing	78.1	11	1	4.01	8.188771e+02	96	0	56.9	1	99	11.78	96	0.1	5.484776e+03	NA	3.4	3.2	0.782	17.7
Cuba	2008	Developing	77.9	12	1	4.26	7.086158e+02	95	0	56.2	1	99	1.79	95	0.1	5.376448e+03	NA	3.4	3.2	0.771	17.1
Cuba	2007	Developing	78.1	14	1	4.13	7.507148e+02	93	0	55.4	1	99	1.42	93	0.1	5.184494e+03	NA	3.4	3.2	0.754	16.0
Cuba	2006	Developing	78.0	14	1	4.17	5.234724e+02	89	0	54.6	1	99	7.67	89	0.1	4.669692e+03	NA	3.4	3.2	0.732	14.7
Cuba	2005	Developing	77.2	19	1	4.48	5.189359e+02	95	0	53.8	1	99	9.39	89	0.1	3.779577e+03	NA	3.4	3.3	0.719	14.2
Cuba	2004	Developing	77.3	17	1	4.38	4.484255e+00	99	0	53.0	1	98	6.14	88	0.1	3.397163e+02	NA	3.4	3.3	0.705	13.2
Cuba	2003	Developing	77.4	18	1	4.39	6.034145e+01	99	0	52.1	1	98	6.31	72	0.1	3.192669e+03	NA	3.5	3.3	0.694	12.9
Cuba	2002	Developing	77.7	19	1	4.10	3.347672e+02	98	0	51.3	1	98	6.50	99	0.1	2.994340e+03	NA	3.5	3.3	0.692	12.5
Cuba	2001	Developing	76.7	115	1	4.04	3.225863e+02	98	0	5.4	1	99	6.27	98	0.1	2.832189e+03	NA	3.6	3.4	0.686	12.3
Cuba	2000	Developing	76.9	115	1	3.92	4.934008e+01	98	0	49.4	1	98	6.70	95	0.1	2.741115e+03	NA	3.6	3.4	0.679	12.1
Cyprus	2015	Developed	85.0	52	0	NA	0.000000e+00	97	0	6.3	0	97	NA	97	0.1	2.375113e+03	1.169850e+05	1.0	1.0	0.854	14.3
Cyprus	2014	Developed	83.0	53	0	0.01	2.073042e+02	96	10	59.8	0	99	7.37	99	0.1	2.734884e+03	1.152390e+05	0.9	1.0	0.850	14.0
Cyprus	2013	Developed	81.0	54	0	9.04	2.120859e+02	96	0	59.2	0	99	7.46	99	0.1	2.797967e+03	1.143896e+06	0.9	1.0	0.850	13.8
Cyprus	2012	Developed	80.0	56	0	10.55	2.159756e+03	96	1	58.7	0	99	7.44	99	0.1	2.895116e+04	1.135620e+05	0.9	1.0	0.850	13.8
Cyprus	2011	Developed	79.7	57	0	10.69	2.443325e+03	96	0	58.3	0	99	7.54	99	0.1	3.223384e+04	1.124835e+06	0.9	1.0	0.847	13.8
Cyprus	2010	Developed	79.5	59	0	11.32	2.833300e+02	96	18	57.8	0	99	7.23	99	0.1	3.818464e+03	1.112670e+05	0.9	1.0	0.853	14.6
Cyprus	2009	Developed	79.3	6	0	10.80	2.302524e+02	96	0	57.3	0	99	7.40	99	0.1	3.215816e+03	1.987600e+04	0.9	1.0	0.849	14.1
Cyprus	2008	Developed	79.1	62	0	12.01	2.396410e+02	93	1	56.8	0	97	6.89	97	0.1	3.539749e+03	1.815630e+05	0.9	1.0	0.844	13.7
Cyprus	2007	Developed	78.9	63	0	11.56	1.958526e+03	93	0	56.3	0	97	6.50	97	0.1	3.138663e+04	1.637120e+05	0.9	1.0	0.836	13.5
Cyprus	2006	Developed	78.8	64	0	11.47	1.700842e+03	93	0	55.8	0	97	6.28	97	0.1	2.716999e+04	1.455900e+04	0.9	1.0	0.829	13.4
Cyprus	2005	Developed	78.7	65	0	11.41	1.562521e+03	88	1	55.3	0	98	6.37	98	0.1	2.532449e+04	1.276580e+05	0.9	1.0	0.826	13.5
Cyprus	2004	Developed	78.6	65	0	13.03	1.586724e+03	88	0	54.8	0	98	6.42	98	0.1	2.393249e+04	1.141000e+03	0.9	1.0	0.823	13.4
Cyprus	2003	Developed	78.5	66	0	10.62	1.587087e+02	88	0	54.3	0	98	6.83	98	0.1	2.293479e+03	9.935630e+05	0.9	1.0	0.815	13.0
Cyprus	2002	Developed	78.4	68	0	11.68	1.128051e+03	88	0	53.8	0	98	6.12	98	0.1	1.637229e+04	9.769660e+05	0.9	1.0	0.805	12.5
Cyprus	2001	Developed	78.2	69	0	10.16	1.008086e+02	89	0	53.3	0	97	5.78	97	0.1	1.562924e+03	9.628200e+04	0.9	1.0	0.800	12.4
Cyprus	2000	Developed	78.1	7	0	9.56	9.508028e+02	89	0	52.8	0	97	5.77	97	0.1	1.467288e+04	9.432860e+05	0.9	1.0	0.798	12.5
Czechia	2015	Developed	78.8	86	0	NA	0.000000e+00	97	9	66.1	0	97	NA	97	0.1	NA	NA	1.8	1.8	NA	NA
Czechia	2014	Developed	78.6	88	0	12.68	0.000000e+00	99	222	65.6	0	99	7.41	97	0.1	NA	NA	1.8	1.9	NA	NA
Czechia	2013	Developed	78.2	9	0	12.45	0.000000e+00	99	15	65.1	0	99	7.49	98	0.1	NA	NA	1.8	1.9	NA	NA
Czechia	2012	Developed	78.0	93	0	12.71	0.000000e+00	99	22	64.5	0	99	7.55	99	0.1	NA	NA	1.8	1.9	NA	NA
Czechia	2011	Developed	77.8	97	0	12.43	0.000000e+00	99	17	64.0	0	99	7.50	99	0.1	NA	NA	1.9	1.9	NA	NA
Czechia	2010	Developed	77.5	99	0	12.69	0.000000e+00	99	0	63.6	0	99	7.43	99	0.1	NA	NA	1.9	2.0	NA	NA
Czechia	2009	Developed	77.1	12	0	13.23	0.000000e+00	99	5	63.1	0	99	7.85	99	0.1	NA	NA	1.9	2.0	NA	NA
Czechia	2008	Developed	77.0	16	0	13.25	0.000000e+00	99	2	62.6	0	99	6.82	99	0.1	NA	NA	1.9	2.0	NA	NA
Czechia	2007	Developed	76.8	17	0	13.43	0.000000e+00	99	2	62.2	0	99	6.52	99	0.1	NA	NA	2.0	2.1	NA	NA
Czechia	2006	Developed	76.5	19	0	13.03	0.000000e+00	98	7	61.8	0	98	6.69	98	0.1	NA	NA	2.0	2.1	NA	NA
Czechia	2005	Developed	75.9	114	0	13.19	0.000000e+00	99	0	61.3	0	96	6.93	97	0.1	NA	NA	2.1	2.1	NA	NA
Czechia	2004	Developed	75.8	116	0	13.24	0.000000e+00	98	17	6.8	0	96	6.90	98	0.1	NA	NA	2.1	2.2	NA	NA
Czechia	2003	Developed	75.2	122	0	13.01	0.000000e+00	92	30	6.4	0	97	7.13	97	0.1	NA	NA	2.2	2.2	NA	NA
Czechia	2002	Developed	75.3	12	0	13.47	0.000000e+00	86	4	59.9	0	97	6.80	98	0.1	NA	NA	2.2	2.3	NA	NA
Czechia	2001	Developed	75.1	123	0	13.36	0.000000e+00	NA	6	59.4	0	97	6.42	98	0.1	NA	NA	2.2	2.3	NA	NA
Czechia	2000	Developed	74.7	126	0	13.22	0.000000e+00	NA	9	59.0	0	98	6.31	98	0.1	NA	NA	2.3	2.3	NA	NA
Democratic People’s Republic of Korea	2015	Developing	76.0	139	6	NA	0.000000e+00	96	0	32.9	7	99	NA	96	0.1	NA	NA	4.9	4.9	NA	NA
Democratic People’s Republic of Korea	2014	Developing	73.0	142	6	0.01	0.000000e+00	93	3	32.4	8	99	NA	93	0.1	NA	NA	4.9	4.9	NA	NA
Democratic People’s Republic of Korea	2013	Developing	71.0	146	6	3.35	0.000000e+00	93	0	31.8	8	99	NA	93	0.1	NA	NA	5.0	5.0	NA	NA
Democratic People’s Republic of Korea	2012	Developing	69.8	149	7	3.61	0.000000e+00	96	0	31.3	9	99	NA	96	0.1	NA	NA	5.1	5.1	NA	NA
Democratic People’s Republic of Korea	2011	Developing	69.4	153	8	3.39	0.000000e+00	94	0	3.8	10	99	NA	94	0.1	NA	NA	5.1	5.2	NA	NA
Democratic People’s Republic of Korea	2010	Developing	69.0	157	8	3.12	0.000000e+00	93	0	3.3	10	99	NA	93	0.1	NA	NA	5.2	5.2	NA	NA
Democratic People’s Republic of Korea	2009	Developing	68.7	161	9	3.35	0.000000e+00	93	0	29.7	11	98	NA	93	0.1	NA	NA	5.3	5.3	NA	NA
Democratic People’s Republic of Korea	2008	Developing	68.6	164	9	3.16	0.000000e+00	92	8	29.2	12	98	NA	92	0.1	NA	NA	5.4	5.4	NA	NA
Democratic People’s Republic of Korea	2007	Developing	68.5	166	9	3.13	0.000000e+00	92	3550	28.7	12	99	NA	92	0.1	NA	NA	5.5	5.5	NA	NA
Democratic People’s Republic of Korea	2006	Developing	68.5	165	10	3.28	0.000000e+00	96	0	28.2	12	98	NA	89	0.1	NA	NA	5.6	5.6	NA	NA
Democratic People’s Republic of Korea	2005	Developing	68.5	165	10	3.21	0.000000e+00	92	0	27.7	13	97	NA	79	0.1	NA	NA	5.7	5.7	NA	NA
Democratic People’s Republic of Korea	2004	Developing	68.4	165	11	3.13	0.000000e+00	98	0	27.2	14	99	NA	72	0.1	NA	NA	5.7	5.7	NA	NA
Democratic People’s Republic of Korea	2003	Developing	68.1	165	12	3.13	0.000000e+00	27	0	26.7	15	99	NA	68	0.1	NA	NA	5.8	5.8	NA	NA
Democratic People’s Republic of Korea	2002	Developing	67.6	167	14	3.08	0.000000e+00	NA	0	26.2	18	99	NA	64	0.1	NA	NA	5.9	5.9	NA	NA
Democratic People’s Republic of Korea	2001	Developing	66.6	177	16	2.53	0.000000e+00	NA	0	25.7	21	98	NA	62	0.1	NA	NA	5.9	6.0	NA	NA
Democratic People’s Republic of Korea	2000	Developing	65.4	192	18	3.52	0.000000e+00	NA	0	25.2	25	93	NA	56	0.1	NA	NA	6.0	6.0	NA	NA
Democratic Republic of the Congo	2015	Developing	59.8	258	236	NA	0.000000e+00	81	5020	21.6	308	78	NA	81	1.1	NA	NA	9.5	9.3	NA	NA
Democratic Republic of the Congo	2014	Developing	59.3	266	237	0.01	0.000000e+00	8	33711	21.1	312	79	4.33	8	1.1	NA	NA	9.7	9.5	NA	NA
Democratic Republic of the Congo	2013	Developing	58.8	272	238	0.01	0.000000e+00	74	88381	2.6	314	74	3.89	74	1.2	NA	NA	9.9	9.6	NA	NA
Democratic Republic of the Congo	2012	Developing	58.3	277	239	0.01	0.000000e+00	75	72029	2.1	317	76	3.77	75	1.5	NA	NA	1.0	9.8	NA	NA
Democratic Republic of the Congo	2011	Developing	57.9	278	239	1.82	0.000000e+00	74	133802	19.6	319	77	3.53	74	1.6	NA	NA	1.2	1.0	NA	NA
Democratic Republic of the Congo	2010	Developing	57.4	283	239	1.81	0.000000e+00	6	5407	19.1	321	76	4.40	6	1.6	NA	NA	1.4	1.2	NA	NA
Democratic Republic of the Congo	2009	Developing	56.7	292	238	2.13	0.000000e+00	72	57	18.6	323	78	5.61	72	1.7	NA	NA	1.6	1.4	NA	NA
Democratic Republic of the Congo	2008	Developing	56.3	295	237	2.09	0.000000e+00	65	12461	18.2	324	64	4.46	65	1.8	NA	NA	1.8	1.7	NA	NA
Democratic Republic of the Congo	2007	Developing	55.7	299	236	1.52	0.000000e+00	7	55577	17.8	326	72	3.61	7	1.9	NA	NA	11.1	1.9	NA	NA
Democratic Republic of the Congo	2006	Developing	55.0	36	235	1.53	0.000000e+00	NA	80123	17.3	327	62	3.39	62	2.0	NA	NA	11.3	11.1	NA	NA
Democratic Republic of the Congo	2005	Developing	54.3	314	233	1.43	0.000000e+00	NA	182485	16.9	329	6	3.14	6	2.0	NA	NA	11.5	11.3	NA	NA
Democratic Republic of the Congo	2004	Developing	53.5	323	232	1.44	0.000000e+00	NA	44934	16.5	330	52	3.34	54	2.1	NA	NA	11.7	11.5	NA	NA
Democratic Republic of the Congo	2003	Developing	52.8	332	231	1.83	0.000000e+00	NA	21956	16.1	331	47	3.20	41	2.2	NA	NA	11.9	11.7	NA	NA
Democratic Republic of the Congo	2002	Developing	52.1	341	229	1.85	0.000000e+00	NA	30466	15.7	331	4	2.59	38	2.4	NA	NA	12.1	11.9	NA	NA
Democratic Republic of the Congo	2001	Developing	51.8	34	227	1.90	0.000000e+00	NA	8072	15.3	332	3	2.67	3	2.4	NA	NA	12.2	12.1	NA	NA
Democratic Republic of the Congo	2000	Developing	51.3	346	226	1.98	0.000000e+00	NA	8282	14.9	332	42	1.45	4	2.5	NA	NA	12.4	12.3	NA	NA
Denmark	2015	Developed	86.0	71	0	NA	0.000000e+00	NA	9	58.8	0	93	NA	93	0.1	5.314644e+03	5.683483e+06	1.1	0.9	0.923	19.2
Denmark	2014	Developed	84.0	73	0	9.64	1.046876e+04	NA	27	58.4	0	94	1.80	94	0.1	6.242554e+04	5.643475e+06	1.1	0.9	0.926	19.2
Denmark	2013	Developed	81.0	75	0	9.50	1.026176e+04	NA	17	58.1	0	94	11.25	94	0.1	6.119119e+04	5.614932e+06	1.1	0.9	0.924	18.7
Denmark	2012	Developed	80.0	76	0	9.26	9.284171e+02	NA	2	57.7	0	94	1.98	94	0.1	5.857521e+03	5.591572e+06	1.1	0.9	0.922	18.4
Denmark	2011	Developed	79.7	79	0	10.47	1.025111e+04	NA	84	57.4	0	91	1.87	91	0.1	6.175367e+04	5.575720e+05	1.1	0.9	0.910	16.9
Denmark	2010	Developed	79.2	84	0	10.28	9.544866e+02	NA	5	57.0	0	9	11.80	9	0.1	5.841411e+03	5.547683e+06	1.1	0.9	0.906	16.8
Denmark	2009	Developed	78.9	86	0	10.08	9.765617e+03	NA	6	56.6	0	89	11.47	89	0.1	5.816329e+04	5.523950e+05	1.1	0.9	0.906	16.8
Denmark	2008	Developed	78.8	88	0	10.70	1.076118e+04	NA	14	56.3	0	88	1.18	88	0.1	6.432267e+04	5.493621e+06	1.1	0.9	0.906	16.8
Denmark	2007	Developed	78.4	93	0	10.99	9.703068e+03	NA	2	55.9	0	87	9.99	87	0.1	5.848745e+04	5.461438e+06	1.2	0.9	0.904	16.7
Denmark	2006	Developed	78.1	93	0	11.02	8.509545e+02	NA	27	55.4	0	93	9.92	93	0.1	5.226993e+03	5.437272e+06	1.2	0.9	0.902	16.9
Denmark	2005	Developed	78.1	92	0	11.28	7.627412e+03	NA	2	55.0	0	93	9.77	93	0.1	4.879982e+04	5.419432e+06	1.2	1.0	0.897	16.6
Denmark	2004	Developed	77.7	98	0	11.27	6.948840e+03	NA	0	54.4	0	95	9.67	95	0.1	4.651165e+04	5.445230e+05	1.2	1.0	0.893	16.5
Denmark	2003	Developed	77.3	11	0	11.54	6.509814e+02	NA	0	53.9	0	96	9.51	96	0.1	4.458776e+03	5.395740e+05	1.2	1.0	0.882	16.3
Denmark	2002	Developed	77.0	14	0	11.34	4.801546e+03	NA	32	53.3	0	98	9.33	98	0.1	3.322869e+04	5.375931e+06	1.2	1.0	0.875	16.6
Denmark	2001	Developed	77.0	12	0	11.56	5.304832e+02	NA	11	52.8	0	97	9.10	97	0.1	3.751649e+03	5.358783e+06	1.3	1.0	0.862	16.2
Denmark	2000	Developed	76.9	12	0	11.69	5.087497e+02	NA	14	52.2	0	97	8.70	97	0.1	3.743559e+03	5.339616e+06	1.3	1.0	0.860	16.5
Djibouti	2015	Developing	63.5	241	1	NA	0.000000e+00	84	47	35.0	1	84	NA	84	2.1	1.862167e+03	9.274140e+05	5.6	5.4	0.470	6.3
Djibouti	2014	Developing	63.0	252	1	0.38	2.473300e+01	78	0	34.4	1	78	1.57	78	2.1	1.749151e+02	9.121640e+05	5.6	5.4	0.467	6.3
Djibouti	2013	Developing	62.7	256	1	0.53	2.294410e+02	82	28	33.8	2	82	9.14	82	2.1	1.622638e+03	8.966880e+05	5.6	5.4	0.464	6.3
Djibouti	2012	Developing	62.2	263	1	0.52	2.172126e+02	81	709	33.2	2	81	8.95	81	1.9	1.536157e+03	8.811850e+05	5.6	5.5	0.460	6.3
Djibouti	2011	Developing	61.8	268	1	0.39	2.035975e+01	87	49	32.7	2	87	8.71	87	2.7	1.439869e+02	8.659370e+05	5.6	5.5	0.451	5.9
Djibouti	2010	Developing	61.3	273	1	0.44	1.874960e+02	88	7	32.2	2	88	8.84	88	3.1	1.325997e+03	8.511460e+05	5.6	5.6	0.441	5.5
Djibouti	2009	Developing	69.0	279	1	0.49	1.772672e+02	89	48	31.7	2	89	8.37	89	3.2	1.253657e+03	8.368400e+04	5.7	5.6	0.436	5.3
Djibouti	2008	Developing	62.0	289	1	0.49	1.717686e+02	88	143	31.3	2	89	8.50	89	3.3	1.214771e+03	8.229340e+05	5.7	5.6	0.427	5.0
Djibouti	2007	Developing	59.8	296	1	0.45	2.086879e+01	25	24	3.9	2	88	7.72	88	3.5	1.475869e+02	8.942000e+03	5.8	5.7	0.416	4.5
Djibouti	2006	Developing	59.1	39	2	1.02	1.214812e+02	NA	49	3.6	2	72	7.50	72	3.7	9.656694e+02	7.962800e+04	5.8	5.7	0.405	4.3
Djibouti	2005	Developing	58.6	318	2	1.23	1.270326e+01	NA	298	3.2	2	71	7.21	71	3.9	9.472975e+01	7.832540e+05	5.9	5.8	0.396	4.0
Djibouti	2004	Developing	58.1	326	2	1.18	1.060355e+02	NA	71	29.8	2	64	6.76	64	4.0	8.641847e+02	7.775200e+04	6.0	5.9	0.388	3.7
Djibouti	2003	Developing	58.0	325	2	1.02	9.413303e+01	NA	37	29.4	2	68	6.22	68	4.2	8.199741e+02	7.586150e+05	6.1	5.9	0.378	3.5
Djibouti	2002	Developing	57.9	322	2	1.03	1.346662e+01	NA	50	29.0	2	62	5.45	62	4.3	7.921541e+02	7.462210e+05	6.2	6.0	0.372	3.3
Djibouti	2001	Developing	57.7	323	2	0.95	9.249789e+01	NA	79	28.6	2	49	5.37	53	4.3	7.812322e+02	7.327110e+05	6.3	6.1	0.363	2.9
Djibouti	2000	Developing	57.4	325	2	1.34	9.195076e+01	NA	183	28.2	2	46	5.75	46	4.1	7.681768e+02	7.175840e+05	6.4	6.1	0.361	2.9
Dominica	2013	Developing	NA	NA	0	0.01	1.141956e+01	96	0	58.4	0	96	5.58	96	0.1	7.227567e+02	NA	2.7	2.6	0.721	12.7
Dominican Republic	2015	Developing	73.9	152	6	NA	0.000000e+00	81	0	58.9	7	87	NA	85	0.3	6.468472e+03	1.528394e+06	3.3	3.2	0.718	13.2
Dominican Republic	2014	Developing	73.6	154	6	5.92	1.088245e+03	89	0	57.9	7	9	4.38	91	0.3	6.268692e+03	1.458440e+05	3.3	3.2	0.712	13.2
Dominican Republic	2013	Developing	73.4	157	6	5.93	9.752212e+01	8	0	56.8	7	82	4.12	83	0.3	6.275554e+02	1.281296e+06	3.3	3.2	0.709	13.2
Dominican Republic	2012	Developing	72.1	174	6	5.93	8.571307e+02	74	0	55.8	7	85	4.26	85	0.4	5.968877e+03	1.154950e+05	3.3	3.2	0.706	13.1
Dominican Republic	2011	Developing	73.1	16	6	5.91	8.437877e+02	8	2	54.7	7	84	4.22	84	0.7	5.759643e+03	1.279500e+04	3.3	3.2	0.703	13.0
Dominican Republic	2010	Developing	72.7	166	6	6.02	6.645585e+02	83	0	53.6	8	85	4.60	88	0.9	5.451670e+03	9.897985e+06	3.3	3.3	0.697	12.9
Dominican Republic	2009	Developing	73.6	157	6	6.05	5.878828e+02	8	0	52.6	8	85	4.41	82	1.2	4.952678e+03	9.767758e+06	3.4	3.3	0.695	12.9
Dominican Republic	2008	Developing	73.3	161	6	6.12	4.909242e+01	81	0	51.5	8	86	4.20	82	1.4	5.113794e+02	9.636520e+05	3.4	3.3	0.692	12.8
Dominican Republic	2007	Developing	72.9	164	6	6.05	7.482175e+01	81	0	5.4	8	86	4.34	85	1.6	4.647314e+03	9.543530e+05	3.4	3.4	0.685	12.7
Dominican Republic	2006	Developing	72.3	178	7	6.20	3.529551e+02	84	0	49.3	8	88	4.34	89	1.8	3.836469e+03	9.371338e+06	3.5	3.4	0.677	12.6
Dominican Republic	2005	Developing	69.7	28	7	5.71	2.897419e+02	87	0	48.2	8	86	4.26	87	2.0	3.681599e+03	9.237566e+06	3.5	3.4	0.668	12.6
Dominican Republic	2004	Developing	69.3	214	7	5.16	1.826163e+02	82	0	47.2	8	66	4.28	79	2.1	2.421966e+03	9.129980e+05	3.6	3.5	0.666	12.5
Dominican Republic	2003	Developing	73.0	22	7	6.32	2.930197e+02	79	0	46.1	8	65	5.53	79	2.3	2.372629e+03	8.967760e+05	3.6	3.5	0.665	12.4
Dominican Republic	2002	Developing	71.4	189	7	6.43	4.673592e+00	63	0	45.1	8	74	5.79	82	2.4	3.846578e+01	8.832285e+06	3.7	3.6	0.660	12.3
Dominican Republic	2001	Developing	71.2	188	7	6.13	3.400240e+02	66	113	44.1	9	71	5.59	72	2.5	2.862155e+03	8.697126e+06	3.8	3.6	0.656	12.3
Dominican Republic	2000	Developing	72.0	176	7	6.58	4.479248e+01	68	253	43.1	9	71	5.90	78	2.5	2.824242e+02	8.562622e+06	3.8	3.7	0.651	12.2
Ecuador	2015	Developing	76.2	118	6	NA	0.000000e+00	78	0	54.2	7	84	NA	78	0.1	6.256222e+02	1.614437e+07	1.2	1.1	0.739	14.0
Ecuador	2014	Developing	76.0	121	6	3.82	7.911626e+01	83	0	53.5	7	84	9.16	83	0.1	6.432217e+03	1.593112e+06	1.2	1.1	0.737	14.0
Ecuador	2013	Developing	76.0	121	6	3.77	5.912850e+01	87	0	52.8	8	87	7.29	87	0.1	6.749829e+02	1.566155e+07	1.3	1.1	0.725	13.4
Ecuador	2012	Developing	75.5	127	7	3.92	4.188088e+01	88	72	52.1	8	85	6.48	87	0.1	5.721431e+02	1.541967e+07	1.3	1.2	0.717	13.3
Ecuador	2011	Developing	75.3	131	7	3.99	3.447412e+02	88	257	51.4	8	85	5.92	88	0.1	5.223352e+03	1.517736e+07	1.3	1.2	0.710	13.2
Ecuador	2010	Developing	75.0	134	7	3.95	3.679286e+02	9	0	5.7	8	88	5.90	91	0.1	4.657324e+03	1.493469e+06	1.3	1.2	0.703	13.1
Ecuador	2009	Developing	75.1	137	7	3.87	2.821440e+02	91	0	5.0	8	91	5.58	94	0.1	4.255566e+03	1.469128e+07	1.3	1.2	0.702	13.1
Ecuador	2008	Developing	74.6	139	7	3.76	1.979303e+02	93	1	49.3	9	94	5.66	96	0.1	4.274953e+03	1.444756e+07	1.3	1.2	0.698	13.0
Ecuador	2007	Developing	74.7	14	7	3.63	1.960468e+01	94	0	48.6	9	95	5.94	96	0.2	3.597189e+02	1.425453e+06	1.4	1.3	0.696	12.9
Ecuador	2006	Developing	74.4	144	8	3.52	1.913983e+01	96	0	47.9	9	92	5.86	96	0.3	3.357865e+02	1.396748e+06	1.4	1.3	0.693	12.8
Ecuador	2005	Developing	74.2	151	8	3.54	1.809317e+01	92	0	47.2	9	89	5.87	92	0.3	3.219425e+02	1.373523e+07	1.4	1.3	0.688	12.8
Ecuador	2004	Developing	74.4	148	8	3.65	1.637920e+01	88	0	46.5	9	9	6.22	88	0.3	2.785579e+02	1.359647e+06	1.5	1.3	0.682	12.7
Ecuador	2003	Developing	74.4	151	8	3.69	1.826183e+01	82	0	45.8	10	97	6.46	87	0.3	2.444690e+02	1.328961e+06	1.5	1.4	0.679	12.6
Ecuador	2002	Developing	73.6	157	8	3.88	1.873844e+02	75	0	45.1	10	88	4.62	88	0.3	2.183967e+03	1.372600e+04	1.5	1.4	0.675	12.5
Ecuador	2001	Developing	73.4	158	9	4.13	1.458874e+01	69	2	44.3	10	9	3.86	89	0.3	1.937416e+02	1.285276e+07	1.6	1.5	0.670	12.4
Ecuador	2000	Developing	72.8	163	9	3.99	8.417527e+01	36	0	43.6	11	83	3.38	87	0.3	1.451298e+03	1.262860e+07	1.6	1.5	0.668	12.4
Egypt	2015	Developing	79.0	159	51	NA	0.000000e+00	93	5432	61.1	60	93	NA	93	0.1	NA	NA	2.8	2.8	0.688	13.1
Egypt	2014	Developing	78.0	161	53	0.21	0.000000e+00	94	1314	6.2	62	94	5.64	94	0.1	NA	NA	2.8	2.8	0.686	13.1
Egypt	2013	Developing	79.0	159	54	0.21	0.000000e+00	97	405	59.4	63	97	5.46	97	0.1	NA	NA	2.9	2.8	0.681	12.8
Egypt	2012	Developing	72.0	165	54	0.23	0.000000e+00	93	245	58.6	64	93	5.29	93	0.1	NA	NA	2.9	2.8	0.673	12.4
Egypt	2011	Developing	74.0	168	55	0.22	0.000000e+00	96	26	57.8	64	96	5.40	96	0.1	NA	NA	2.9	2.9	0.671	12.4
Egypt	2010	Developing	70.0	173	54	0.22	0.000000e+00	97	16	57.0	64	97	4.80	97	0.1	NA	NA	3.0	2.9	0.665	12.2
Egypt	2009	Developing	69.9	174	54	0.21	0.000000e+00	97	608	56.2	64	97	5.10	97	0.1	NA	NA	3.0	3.0	0.659	12.0
Egypt	2008	Developing	69.8	172	54	0.24	0.000000e+00	97	668	55.5	65	97	4.82	97	0.1	NA	NA	3.1	3.0	0.651	11.9
Egypt	2007	Developing	69.7	171	55	0.21	0.000000e+00	98	1684	54.8	65	98	4.95	98	0.1	NA	NA	3.1	3.1	0.644	11.7
Egypt	2006	Developing	69.5	175	55	0.18	0.000000e+00	98	953	54.2	66	98	5.24	98	0.1	NA	NA	3.2	3.1	0.636	11.5
Egypt	2005	Developing	69.4	174	56	0.16	0.000000e+00	98	77	53.5	68	98	5.60	98	0.1	NA	NA	3.2	3.2	0.629	11.4
Egypt	2004	Developing	69.0	176	57	0.16	0.000000e+00	97	80	52.9	70	97	5.21	97	0.1	NA	NA	3.3	3.2	0.623	11.2
Egypt	2003	Developing	68.6	178	59	0.15	0.000000e+00	98	164	52.3	72	98	5.41	98	0.1	NA	NA	3.3	3.3	0.621	11.3
Egypt	2002	Developing	68.7	177	61	0.15	0.000000e+00	97	653	51.8	75	97	5.97	97	0.1	NA	NA	3.4	3.4	0.617	11.2
Egypt	2001	Developing	68.6	177	63	0.14	0.000000e+00	99	2150	51.2	78	99	5.75	99	0.1	NA	NA	3.5	3.4	0.612	11.1
Egypt	2000	Developing	68.8	171	65	0.14	0.000000e+00	98	2633	5.7	82	98	5.55	98	0.1	NA	NA	3.6	3.5	0.606	11.0
El Salvador	2015	Developing	73.5	178	2	NA	0.000000e+00	91	0	56.1	2	92	NA	91	0.2	4.127118e+03	6.312478e+06	1.6	1.5	0.678	13.2
El Salvador	2014	Developing	73.3	181	2	2.52	6.657260e+02	93	0	55.4	2	93	6.77	94	0.2	3.988772e+03	6.281189e+06	1.6	1.6	0.676	13.2
El Salvador	2013	Developing	73.0	184	2	2.42	6.536925e+02	92	0	54.7	2	92	6.95	92	0.2	3.895664e+03	6.257770e+05	1.6	1.6	0.675	13.2
El Salvador	2012	Developing	73.0	181	2	2.48	5.917758e+02	92	0	54.1	2	93	6.70	92	0.3	3.827786e+03	6.221246e+06	1.6	1.6	0.670	13.2
El Salvador	2011	Developing	72.0	197	2	2.37	5.492783e+02	89	0	53.4	2	9	6.81	89	0.3	3.736587e+03	6.192560e+05	1.7	1.6	0.666	13.0
El Salvador	2010	Developing	72.0	191	2	2.36	4.693904e+02	89	0	52.8	2	89	6.91	89	0.3	3.474392e+03	6.164626e+06	1.7	1.6	0.662	12.9
El Salvador	2009	Developing	71.4	23	2	2.55	4.164338e+02	91	0	52.1	2	91	6.83	91	0.3	3.366482e+03	6.137276e+06	1.7	1.6	0.662	12.8
El Salvador	2008	Developing	71.7	194	2	2.68	5.395950e+01	98	0	51.4	3	98	6.21	98	0.3	3.573477e+02	6.113100e+04	1.8	1.7	0.659	13.4
El Salvador	2007	Developing	71.2	23	2	2.83	5.230172e+01	99	0	5.8	3	99	6.32	99	0.3	3.348382e+02	6.834750e+05	1.8	1.7	0.657	12.9
El Salvador	2006	Developing	75.0	211	3	2.77	5.774563e+01	96	0	5.1	3	96	6.68	96	0.2	3.629518e+02	6.564780e+05	1.8	1.7	0.651	12.9
El Salvador	2005	Developing	71.0	213	3	2.77	4.406027e+02	89	0	49.4	3	89	7.19	89	0.2	2.835281e+03	6.289610e+05	1.9	1.8	0.644	12.7
El Salvador	2004	Developing	70.0	215	3	2.90	3.986058e+02	9	0	48.6	3	9	7.30	9	0.3	2.632799e+03	6.775000e+03	1.9	1.8	0.636	12.4
El Salvador	2003	Developing	69.9	29	3	3.10	4.001343e+02	94	0	47.8	4	93	7.61	94	0.3	2.519737e+03	5.971535e+06	2.0	1.9	0.628	12.0
El Salvador	2002	Developing	73.0	24	3	2.97	2.968529e+01	81	0	47.0	4	81	7.90	81	0.4	2.484125e+02	5.943300e+04	2.0	1.9	0.621	11.8
El Salvador	2001	Developing	68.9	219	4	2.88	3.321057e+02	75	2	46.2	4	94	8.20	92	0.4	2.338772e+03	5.959620e+05	2.1	2.0	0.615	11.6
El Salvador	2000	Developing	69.0	218	4	2.79	3.536690e+02	99	0	45.3	5	98	8.17	99	0.4	2.238412e+03	5.867626e+06	2.1	2.0	0.607	11.3
Equatorial Guinea	2015	Developing	58.2	32	3	NA	0.000000e+00	16	1250	24.5	4	17	NA	16	4.2	1.347313e+03	1.175389e+06	8.4	8.3	0.582	9.2
Equatorial Guinea	2014	Developing	57.9	32	3	0.01	1.340477e+01	2	13	24.0	4	24	3.80	2	4.4	1.925973e+02	1.129424e+06	8.5	8.4	0.582	9.2
Equatorial Guinea	2013	Developing	57.4	327	3	10.72	1.563908e+02	NA	321	23.5	4	3	3.73	3	5.7	2.246994e+03	1.837460e+05	8.6	8.6	0.586	9.2
Equatorial Guinea	2012	Developing	56.7	337	3	11.89	1.500413e+03	NA	1190	23.0	4	3	4.00	24	8.2	2.155765e+04	1.385930e+05	8.7	8.7	0.583	9.2
Equatorial Guinea	2011	Developing	56.2	344	3	10.99	1.493051e+03	NA	0	22.6	4	39	3.29	41	7.7	2.145189e+04	9.942900e+04	8.9	8.8	0.580	9.2
Equatorial Guinea	2010	Developing	56.1	339	3	9.93	1.192697e+03	NA	0	22.1	4	59	3.84	44	7.2	1.713645e+04	9.511400e+04	9.0	9.0	0.589	9.2
Equatorial Guinea	2009	Developing	55.7	34	3	7.97	1.150692e+02	NA	78	21.7	4	57	5.32	43	7.3	1.653294e+03	9.911100e+04	9.2	9.2	0.590	9.1
Equatorial Guinea	2008	Developing	55.4	338	3	8.34	1.705679e+03	NA	436	21.3	4	55	2.31	42	6.3	2.274238e+04	8.684180e+05	9.3	9.3	0.592	9.1
Equatorial Guinea	2007	Developing	55.0	339	3	6.86	1.024520e+03	NA	5	2.9	4	54	2.25	41	5.9	1.576184e+04	8.293270e+05	9.5	9.5	0.587	9.0
Equatorial Guinea	2006	Developing	54.8	337	3	7.28	8.275979e+02	NA	0	2.5	4	52	2.13	4	5.3	1.273228e+04	7.922170e+05	9.7	9.6	0.569	9.0
Equatorial Guinea	2005	Developing	54.4	337	3	7.19	1.206617e+01	NA	0	2.2	4	5	1.63	39	4.9	1.856333e+02	7.573170e+05	9.8	9.8	0.563	8.7
Equatorial Guinea	2004	Developing	54.1	336	3	6.28	4.454768e+01	NA	38	19.8	4	48	2.40	38	4.4	6.853490e+02	7.248170e+05	1.0	1.0	0.553	8.5
Equatorial Guinea	2003	Developing	53.8	334	3	7.13	3.097835e+02	NA	18	19.5	4	46	2.23	37	3.6	3.577176e+03	6.946110e+05	1.2	1.1	0.554	8.4
Equatorial Guinea	2002	Developing	53.5	334	3	6.01	2.347874e+02	NA	24	19.1	4	44	2.50	36	2.9	2.711171e+03	6.664700e+04	1.4	1.3	0.542	8.2
Equatorial Guinea	2001	Developing	53.1	334	3	5.07	1.977840e+02	NA	1339	18.7	4	43	1.78	35	2.3	2.283879e+03	6.397620e+05	1.6	1.4	0.527	8.0
Equatorial Guinea	2000	Developing	52.7	336	3	4.46	1.495451e+01	NA	0	18.3	4	41	2.73	34	1.9	1.726849e+02	6.143230e+05	1.7	1.6	0.000	0.0
Eritrea	2015	Developing	64.7	255	5	NA	0.000000e+00	95	198	18.6	7	95	NA	95	0.4	NA	NA	8.4	8.2	0.418	5.0
Eritrea	2014	Developing	64.4	261	5	0.01	0.000000e+00	94	127	18.0	8	94	3.34	94	0.4	NA	NA	8.5	8.3	0.416	5.0
Eritrea	2013	Developing	64.0	266	6	0.01	0.000000e+00	94	45	17.5	8	94	3.10	94	0.5	NA	NA	8.6	8.4	0.414	5.0
Eritrea	2012	Developing	63.6	274	6	0.01	0.000000e+00	94	194	17.0	8	94	2.98	94	0.6	NA	NA	8.7	8.6	0.410	5.0
Eritrea	2011	Developing	62.9	286	6	0.62	2.097992e+01	96	48	16.5	8	96	3.60	96	0.7	5.827755e+02	4.474690e+05	8.8	8.7	0.405	5.0
Eritrea	2010	Developing	62.1	298	6	0.61	1.735740e+01	9	51	16.0	9	9	3.24	9	0.9	4.821499e+02	4.398400e+04	8.9	8.8	0.404	5.1
Eritrea	2009	Developing	61.4	311	6	0.63	1.575160e+00	92	82	15.5	9	92	3.30	92	1.0	4.375445e+01	4.313340e+05	9.0	8.9	0.402	5.2
Eritrea	2008	Developing	67.0	322	6	0.49	1.176572e+01	94	0	15.1	9	94	3.69	94	1.1	3.268256e+02	4.232636e+06	9.1	9.1	0.406	5.2
Eritrea	2007	Developing	62.0	329	6	1.23	1.142386e+01	91	55	14.7	9	91	3.29	91	1.3	3.173294e+02	4.153332e+06	9.2	9.2	0.405	5.3
Eritrea	2006	Developing	59.7	336	7	0.97	1.060270e+01	94	128	14.3	9	94	3.30	94	1.4	2.978286e+02	4.666480e+05	9.3	9.3	0.405	5.3
Eritrea	2005	Developing	59.4	34	7	1.07	5.064689e+00	96	19	13.9	9	96	2.97	96	1.6	2.767590e+02	3.969700e+04	9.4	9.5	0.000	5.4
Eritrea	2004	Developing	59.1	342	7	0.64	1.026097e+01	84	24	13.6	10	98	3.14	98	1.8	2.874222e+02	3.858623e+06	9.6	9.6	0.000	5.0
Eritrea	2003	Developing	58.8	343	7	0.56	6.913998e+00	91	376	13.3	10	95	3.50	93	1.9	2.327945e+02	3.738265e+06	9.7	9.7	0.000	4.7
Eritrea	2002	Developing	58.5	343	7	0.83	7.031322e-01	86	460	13.1	10	92	4.20	9	1.9	2.176880e+01	3.614639e+06	9.9	9.9	0.000	4.4
Eritrea	2001	Developing	58.1	345	7	0.61	5.593619e+00	NA	204	12.8	10	89	3.95	86	2.0	2.151392e+02	3.497124e+06	1.0	1.0	0.000	4.3
Eritrea	2000	Developing	45.3	593	7	0.83	7.359404e-01	NA	789	12.6	10	82	4.43	81	1.9	2.819695e+01	3.392810e+05	1.2	1.1	0.000	3.9
Estonia	2015	Developing	77.6	119	0	NA	0.000000e+00	91	4	59.9	0	93	NA	93	0.1	1.774929e+03	1.315470e+05	1.9	1.9	0.863	16.5
Estonia	2014	Developing	77.3	122	0	0.01	2.700073e+03	93	0	59.4	0	93	6.38	93	0.1	1.994146e+04	1.314545e+06	1.9	1.9	0.860	16.5
Estonia	2013	Developing	76.9	127	0	0.01	2.612915e+02	93	2	59.0	0	94	6.48	94	0.1	1.929775e+03	1.317997e+06	1.9	1.9	0.856	16.5
Estonia	2012	Developing	76.3	135	0	0.01	2.263104e+03	94	4	58.5	0	94	6.36	94	0.1	1.742189e+04	1.322696e+06	1.9	1.9	0.850	16.5
Estonia	2011	Developing	76.1	138	0	0.01	2.146946e+03	94	7	58.0	0	93	5.83	93	0.1	1.745484e+04	1.327439e+06	1.9	2.0	0.838	16.4
Estonia	2010	Developing	75.6	137	0	14.97	1.802018e+03	94	0	57.6	0	94	6.25	94	0.1	1.463865e+04	1.331475e+06	1.9	2.0	0.833	16.2
Estonia	2009	Developing	74.9	156	0	15.04	1.717089e+03	95	0	57.1	0	95	6.93	95	0.1	1.472632e+04	1.334515e+06	2.0	2.0	0.836	16.1
Estonia	2008	Developing	74.2	167	0	16.99	2.250724e+02	94	0	56.7	0	95	6.60	95	0.1	1.894549e+03	1.337900e+04	2.0	2.1	0.835	16.1
Estonia	2007	Developing	73.0	189	0	17.87	1.904125e+03	95	1	56.3	0	95	5.16	95	0.1	1.658645e+04	1.346800e+04	2.0	2.1	0.829	16.1
Estonia	2006	Developing	73.0	188	0	16.58	2.443511e+02	95	27	55.9	0	95	5.10	95	0.1	1.259542e+04	1.346810e+05	2.1	2.2	0.822	16.1
Estonia	2005	Developing	72.8	189	0	15.52	1.535045e+02	95	2	55.5	0	96	5.20	96	0.1	1.338313e+03	1.354775e+06	2.1	2.2	0.812	15.9
Estonia	2004	Developing	72.3	195	0	15.07	1.011201e+02	9	0	55.2	0	95	5.13	94	0.1	8.854651e+02	1.362550e+05	2.2	2.3	0.805	15.7
Estonia	2003	Developing	71.9	199	0	11.64	1.327234e+02	NA	0	54.9	0	95	4.92	94	0.1	7.174237e+03	1.377200e+04	2.2	2.3	0.798	15.6
Estonia	2002	Developing	71.2	211	0	11.48	7.806043e+00	NA	0	54.6	0	94	4.84	94	0.1	5.383478e+02	1.379350e+05	2.3	2.4	0.791	15.4
Estonia	2001	Developing	78.0	225	0	0.01	8.862946e+01	NA	0	54.3	0	94	4.85	94	0.1	4.498957e+03	1.388115e+06	2.4	2.5	0.781	15.0
Estonia	2000	Developing	78.0	218	0	0.01	5.348095e+00	NA	9	54.0	0	93	5.28	93	0.1	4.732827e+01	1.396985e+06	2.5	2.5	0.764	14.4
Ethiopia	2015	Developing	64.8	225	136	NA	0.000000e+00	77	17745	17.6	194	75	NA	77	0.6	6.454638e+02	9.987333e+06	1.4	1.2	0.441	8.4
Ethiopia	2014	Developing	64.2	234	140	0.01	8.995806e+01	77	12739	17.2	202	75	4.88	77	0.6	5.711623e+02	9.736677e+07	1.5	1.3	0.435	8.4
Ethiopia	2013	Developing	63.7	237	145	1.86	8.313282e+00	72	5253	16.8	211	7	5.19	72	0.9	5.215359e+01	9.488772e+07	1.6	1.4	0.427	8.4
Ethiopia	2012	Developing	63.3	241	150	1.84	8.682551e+01	69	4347	16.4	221	7	5.77	69	1.2	4.685672e+02	9.244418e+07	1.7	1.5	0.422	8.4
Ethiopia	2011	Developing	62.6	249	156	1.32	6.777565e+01	65	3255	16.0	231	7	6.55	65	1.4	3.548464e+02	9.467560e+05	1.9	1.6	0.411	8.2
Ethiopia	2010	Developing	61.8	261	162	1.34	6.773374e+01	62	4235	15.6	243	69	6.86	61	1.7	3.413999e+02	8.772670e+05	11.0	1.7	0.401	8.1
Ethiopia	2009	Developing	68.0	274	169	1.17	5.377354e+01	56	1176	15.3	256	65	4.41	58	2.0	3.797566e+02	8.541625e+07	11.1	1.8	0.393	8.1
Ethiopia	2008	Developing	59.8	289	177	1.13	3.855783e+01	52	3511	14.9	270	63	4.28	54	2.4	3.253826e+02	8.318489e+07	11.2	1.9	0.378	7.6
Ethiopia	2007	Developing	58.5	39	186	1.06	3.046452e+01	47	1446	14.5	286	61	4.69	5	2.8	2.433268e+02	8.149000e+03	11.3	11.0	0.362	7.1
Ethiopia	2006	Developing	57.2	328	196	1.22	2.218952e+01	NA	1451	14.2	304	59	4.47	46	3.3	1.937950e+02	7.885689e+06	11.4	11.1	0.346	6.6
Ethiopia	2005	Developing	56.0	343	206	0.99	1.803753e+01	NA	357	13.8	323	56	4.20	44	3.7	1.616266e+02	7.672783e+06	11.5	11.2	0.325	5.8
Ethiopia	2004	Developing	55.0	354	217	0.86	1.506962e+00	NA	73	13.5	342	54	4.23	4	4.1	1.357624e+02	7.462445e+06	11.5	11.3	0.310	5.4
Ethiopia	2003	Developing	54.0	363	228	0.79	1.097202e+01	NA	228	13.2	360	55	4.64	37	4.4	1.188734e+02	7.254514e+07	11.6	11.5	0.306	5.2
Ethiopia	2002	Developing	53.2	369	237	0.80	1.082453e+01	NA	3332	12.9	377	55	4.73	35	4.6	1.113634e+02	7.497192e+06	11.7	11.6	0.298	4.9
Ethiopia	2001	Developing	52.5	372	246	0.85	1.186228e+00	NA	2366	12.6	392	55	4.26	32	4.9	1.217893e+01	6.849226e+07	11.8	11.7	0.283	4.3
Ethiopia	2000	Developing	51.2	391	253	0.88	1.159482e+01	NA	1660	12.3	404	55	4.36	3	5.0	1.238763e+02	6.653733e+07	11.9	11.8	0.000	3.9
Fiji	2015	Developing	69.9	188	0	NA	0.000000e+00	99	0	62.7	0	99	NA	99	0.1	4.921896e+03	8.921490e+05	4.0	3.7	0.734	15.3
Fiji	2014	Developing	69.7	19	0	0.01	5.053948e+01	99	0	61.9	0	99	4.49	99	0.1	5.463728e+02	8.858600e+04	4.0	3.7	0.727	15.2
Fiji	2013	Developing	69.6	192	0	0.01	4.606488e+02	99	0	61.1	0	99	4.26	99	0.1	4.763690e+03	8.797150e+05	4.0	3.7	0.719	15.0
Fiji	2012	Developing	69.4	195	0	0.01	4.314855e+02	99	0	6.2	0	99	4.16	99	0.1	4.546739e+03	8.735960e+05	4.0	3.7	0.714	14.9
Fiji	2011	Developing	69.2	197	0	0.01	4.017931e+02	99	0	59.5	0	99	4.60	99	0.1	4.353121e+03	8.678600e+04	4.0	3.7	0.709	14.7
Fiji	2010	Developing	69.1	2	0	2.25	6.208344e+01	99	0	58.7	0	99	4.23	99	0.1	3.651967e+03	8.599500e+04	4.0	3.7	0.706	14.6
Fiji	2009	Developing	68.9	23	0	2.31	6.065068e+01	99	1	58.0	0	99	4.26	99	0.1	3.369482e+03	8.519670e+05	4.0	3.7	0.704	14.5
Fiji	2008	Developing	68.7	26	0	1.95	8.104656e+01	99	0	57.3	0	99	3.68	99	0.1	4.177658e+03	8.433400e+04	4.0	3.7	0.700	14.3
Fiji	2007	Developing	68.6	29	0	2.09	5.889526e+00	99	0	56.6	0	99	3.74	99	0.1	4.788233e+02	8.348120e+05	4.1	3.8	0.698	14.2
Fiji	2006	Developing	68.5	211	0	2.06	5.212416e+01	99	136	55.9	0	98	3.84	98	0.1	3.749940e+03	8.274110e+05	4.1	3.8	0.695	14.0
Fiji	2005	Developing	68.3	214	0	2.02	6.439203e+01	99	0	55.1	0	97	3.61	96	0.1	3.658638e+03	8.218170e+05	4.1	3.8	0.699	13.9
Fiji	2004	Developing	68.1	218	0	1.63	4.399452e+01	99	37	54.2	0	96	3.61	95	0.1	3.332919e+03	8.183540e+05	4.2	3.9	0.691	13.4
Fiji	2003	Developing	68.0	22	0	1.76	2.538197e+02	99	305	53.2	0	95	3.35	94	0.1	2.835974e+03	8.166280e+05	4.2	3.9	0.689	13.3
Fiji	2002	Developing	67.9	22	0	1.85	2.060717e+02	99	304	52.2	0	94	3.48	93	0.1	2.259558e+03	8.156910e+05	4.2	3.9	0.687	13.3
Fiji	2001	Developing	67.8	221	0	1.93	2.071191e+01	98	17	51.2	0	92	3.28	91	0.1	2.388917e+02	8.142180e+05	4.3	4.0	0.683	13.2
Fiji	2000	Developing	67.7	221	0	2.05	3.125835e+01	98	0	5.2	0	91	3.87	9	0.1	2.761338e+02	8.112230e+05	4.3	4.0	0.681	13.1
Finland	2015	Developing	81.1	76	0	NA	0.000000e+00	NA	2	62.1	0	97	NA	97	0.1	4.245397e+03	5.479531e+06	0.9	0.8	0.893	17.0
Finland	2014	Developing	89.0	78	0	8.80	6.164455e+03	NA	0	61.7	0	98	9.68	98	0.1	4.991462e+04	5.461512e+06	0.9	0.8	0.890	17.0
Finland	2013	Developing	87.0	79	0	8.97	6.115497e+03	NA	2	61.4	0	98	9.55	98	0.1	4.963877e+04	5.438972e+06	0.9	0.8	0.887	17.0
Finland	2012	Developing	84.0	82	0	9.24	5.889013e+03	NA	0	61.0	0	99	9.30	99	0.1	4.741556e+04	5.413971e+06	0.9	0.8	0.884	17.0
Finland	2011	Developing	83.0	86	0	9.81	7.101621e+01	NA	27	6.6	0	99	9.10	99	0.1	5.797242e+02	5.388272e+06	0.9	0.8	0.878	16.9
Finland	2010	Developing	79.9	89	0	9.72	5.916691e+02	NA	5	6.2	0	99	9.50	99	0.1	4.622415e+03	5.363352e+06	0.9	0.8	0.874	16.8
Finland	2009	Developing	79.7	91	0	9.96	5.797384e+02	NA	2	59.8	0	99	9.20	99	0.1	4.717156e+03	5.338871e+06	0.9	0.8	0.878	17.0
Finland	2008	Developing	79.6	94	0	10.26	6.788811e+02	NA	5	59.4	0	97	8.35	99	0.1	5.341315e+03	5.313399e+06	0.9	0.8	0.876	17.1
Finland	2007	Developing	79.3	96	0	10.45	6.147132e+03	NA	0	59.0	0	97	8.90	99	0.1	4.828855e+04	5.288720e+05	0.9	0.8	0.873	17.2
Finland	2006	Developing	79.2	96	0	10.15	5.247775e+02	NA	0	58.6	0	97	8.38	97	0.1	4.112677e+03	5.266268e+06	0.9	0.8	0.869	17.2
Finland	2005	Developing	78.9	11	0	9.95	4.816590e+03	NA	1	58.1	0	97	8.43	97	0.1	3.896917e+04	5.246960e+05	0.9	0.8	0.864	17.1
Finland	2004	Developing	78.7	12	0	9.89	4.508806e+03	NA	0	57.6	0	96	8.21	98	0.1	3.763611e+04	5.228172e+06	0.9	0.8	0.869	18.3
Finland	2003	Developing	78.4	98	0	9.31	3.869026e+03	NA	0	57.1	0	96	8.15	98	0.1	3.281617e+04	5.213140e+05	0.9	0.8	0.866	18.1
Finland	2002	Developing	78.1	98	0	9.25	3.099357e+03	NA	0	56.6	0	95	7.81	98	0.1	2.683426e+04	5.259800e+04	0.9	0.8	0.863	18.0
Finland	2001	Developing	78.0	1	0	8.94	2.775335e+03	NA	1	56.1	0	95	7.43	98	0.1	2.491324e+04	5.188800e+04	0.9	0.8	0.856	17.7
Finland	2000	Developing	77.5	15	0	8.59	3.977534e+02	NA	0	55.5	0	96	7.22	99	0.1	2.425325e+04	5.176290e+05	0.9	0.9	0.847	17.3
France	2015	Developing	82.4	78	2	NA	0.000000e+00	86	157	62.5	3	98	NA	98	0.1	3.652677e+04	6.662468e+06	0.7	0.6	0.894	16.3
France	2014	Developing	82.2	79	3	11.50	6.739678e+03	83	267	62.0	3	98	11.54	98	0.1	4.295524e+04	6.633196e+07	0.6	0.6	0.890	16.2
France	2013	Developing	82.0	81	3	11.10	6.646954e+03	74	272	61.6	3	99	11.56	99	0.1	4.255412e+04	6.599857e+06	0.6	0.6	0.887	16.2
France	2012	Developing	81.5	83	3	11.50	7.513794e+02	78	0	61.1	3	99	11.44	99	0.1	4.838244e+03	6.565979e+06	0.6	0.6	0.885	16.1
France	2011	Developing	81.7	83	3	11.80	6.839191e+02	74	14949	6.6	3	99	11.33	99	0.1	4.381288e+03	6.534278e+07	0.6	0.6	0.882	16.1
France	2010	Developing	81.3	86	3	11.70	7.280012e+01	65	5048	6.1	3	99	11.20	99	0.1	4.733428e+02	6.527512e+06	0.6	0.6	0.879	16.0
France	2009	Developing	81.1	88	3	11.80	6.415357e+03	51	1541	59.6	3	98	11.28	98	0.1	4.163113e+04	6.477440e+05	0.6	0.6	0.879	16.0
France	2008	Developing	89.0	88	3	11.90	7.002786e+03	47	604	59.1	3	98	1.57	98	0.1	4.541366e+04	6.437499e+06	0.6	0.6	0.877	16.1
France	2007	Developing	89.0	89	3	12.20	6.473715e+01	42	39	58.6	3	99	1.45	98	0.1	4.165840e+02	6.416229e+06	0.6	0.6	0.873	16.1
France	2006	Developing	86.0	92	3	12.40	5.689992e+03	39	40	58.0	4	99	1.53	99	0.1	3.654459e+04	6.362138e+07	0.6	0.6	0.870	16.1
France	2005	Developing	81.0	93	3	12.20	5.451701e+03	35	36	57.5	4	98	1.60	98	0.1	3.487973e+04	6.317936e+07	0.6	0.6	0.860	15.5
France	2004	Developing	82.0	94	3	13.18	5.291235e+03	35	4448	57.0	4	99	1.53	98	0.1	3.387474e+04	6.274897e+06	0.6	0.6	0.857	15.5
France	2003	Developing	79.3	99	3	13.49	4.572442e+03	28	0	56.4	4	96	1.43	97	0.1	2.969118e+04	6.224488e+07	0.6	0.6	0.852	15.4
France	2002	Developing	79.2	11	3	13.78	3.779655e+03	29	5185	55.8	4	97	1.22	97	0.1	2.427524e+04	6.185267e+06	0.7	0.6	0.851	15.5
France	2001	Developing	79.0	13	3	13.89	3.451185e+03	28	0	55.2	4	98	9.89	97	0.1	2.252732e+04	6.135743e+07	0.7	0.6	0.849	15.6
France	2000	Developing	78.8	13	3	13.63	3.410284e+03	26	10000	54.6	4	98	9.77	97	0.1	2.246564e+04	6.912498e+06	0.7	0.6	0.844	15.7
Gabon	2015	Developing	66.0	229	2	NA	0.000000e+00	8	27	36.3	3	79	NA	8	2.7	7.388984e+03	1.931750e+05	6.1	5.9	0.694	12.6
Gabon	2014	Developing	65.5	237	2	0.01	7.152817e+02	7	33	35.8	3	68	3.44	7	2.8	9.692164e+03	1.875713e+06	6.1	6.0	0.687	12.6
Gabon	2013	Developing	64.6	255	2	8.86	1.548759e+02	79	122	35.2	3	77	3.98	79	3.7	9.679743e+03	1.817271e+06	6.2	6.1	0.678	12.5
Gabon	2012	Developing	63.5	276	2	8.30	8.053925e+02	82	2	34.6	3	8	3.13	82	4.9	9.774181e+03	1.756817e+06	6.3	6.2	0.669	12.5
Gabon	2011	Developing	62.8	289	2	8.90	1.335224e+02	75	2	34.1	3	75	3.12	75	6.0	1.716226e+03	1.697110e+05	6.4	6.3	0.664	12.5
Gabon	2010	Developing	62.3	294	2	8.85	1.453183e+02	67	1	33.5	3	68	3.41	67	7.0	8.754113e+03	1.642100e+04	6.5	6.4	0.660	12.5
Gabon	2009	Developing	61.7	31	2	8.64	5.231086e+01	79	0	33.0	3	74	3.43	76	8.0	7.636622e+02	1.586754e+06	6.7	6.5	0.652	12.4
Gabon	2008	Developing	61.6	298	2	8.75	1.105422e+01	82	3	32.4	3	81	2.54	82	8.9	1.942746e+02	1.536411e+06	6.8	6.6	0.651	12.4
Gabon	2007	Developing	61.6	291	2	9.02	5.454390e+02	75	0	31.9	3	78	2.86	81	10.0	8.352817e+03	1.489193e+06	6.9	6.8	0.645	12.4
Gabon	2006	Developing	61.4	288	2	8.01	4.053720e+01	52	90	31.4	3	44	2.88	45	10.7	7.277773e+02	1.444844e+06	7.1	6.9	0.646	12.4
Gabon	2005	Developing	65.0	37	2	7.72	3.532438e+02	28	0	3.8	3	44	2.76	45	10.9	6.741294e+03	1.431260e+05	7.2	7.1	0.640	12.4
Gabon	2004	Developing	59.7	322	2	8.13	4.434751e+02	NA	63	3.3	3	44	3.26	45	11.1	5.685578e+03	1.364250e+05	7.4	7.2	0.640	12.3
Gabon	2003	Developing	59.7	32	2	6.47	3.522324e+02	NA	0	29.8	3	44	3.48	45	11.0	4.892116e+03	1.328146e+06	7.5	7.4	0.638	12.3
Gabon	2002	Developing	59.7	315	2	8.34	2.269040e+01	NA	110	29.2	3	44	3.22	45	10.7	4.125527e+02	1.294490e+05	7.7	7.5	0.636	12.3
Gabon	2001	Developing	59.8	37	2	9.29	1.836981e+02	NA	5129	28.7	3	44	3.23	45	10.1	3.976149e+03	1.262259e+06	7.8	7.7	0.633	12.3
Gabon	2000	Developing	61.0	296	2	8.87	2.181727e+02	NA	15	28.1	3	44	2.89	45	9.5	4.116467e+03	1.231122e+06	8.0	7.8	0.637	12.2
Gambia	2015	Developing	61.1	262	3	NA	0.000000e+00	97	71	27.3	5	96	NA	97	1.7	NA	NA	7.3	7.2	0.450	8.9
Gambia	2014	Developing	68.0	266	3	0.01	0.000000e+00	96	1	26.7	5	97	7.34	96	1.7	NA	NA	7.5	7.3	0.449	8.9
Gambia	2013	Developing	66.0	266	3	0.01	0.000000e+00	97	0	26.0	5	96	6.49	97	1.6	NA	NA	7.6	7.5	0.445	8.9
Gambia	2012	Developing	62.0	269	3	0.01	0.000000e+00	98	0	25.4	5	98	6.12	98	1.4	NA	NA	7.8	7.7	0.440	8.8
Gambia	2011	Developing	59.8	277	3	3.41	0.000000e+00	96	0	24.8	5	95	6.24	96	1.8	NA	NA	8.0	7.9	0.441	8.7
Gambia	2010	Developing	59.3	284	3	3.48	0.000000e+00	97	2	24.1	6	97	5.75	97	2.1	NA	NA	8.2	8.1	0.439	8.8
Gambia	2009	Developing	59.0	286	3	2.99	0.000000e+00	97	0	23.5	6	97	5.85	98	2.7	NA	NA	8.4	8.3	0.434	8.9
Gambia	2008	Developing	58.7	287	3	2.79	0.000000e+00	98	0	22.8	6	96	5.95	96	3.0	NA	NA	8.6	8.5	0.426	8.6
Gambia	2007	Developing	58.5	288	3	2.64	0.000000e+00	97	0	22.2	6	94	5.76	95	3.1	NA	NA	8.8	8.7	0.420	8.4
Gambia	2006	Developing	58.2	288	3	2.93	0.000000e+00	95	0	21.5	6	94	5.52	95	3.0	NA	NA	9.0	8.9	0.415	8.1
Gambia	2005	Developing	57.7	294	3	2.26	0.000000e+00	95	0	2.9	6	94	4.97	95	3.0	NA	NA	9.2	9.1	0.412	7.8
Gambia	2004	Developing	57.3	296	3	2.51	0.000000e+00	95	0	2.3	6	88	4.35	87	2.9	NA	NA	9.4	9.3	0.404	7.6
Gambia	2003	Developing	57.0	297	3	2.47	0.000000e+00	94	119	19.7	6	87	4.22	87	2.7	NA	NA	9.6	9.6	0.395	7.3
Gambia	2002	Developing	56.6	298	3	2.08	0.000000e+00	92	32	19.1	6	86	3.75	87	2.5	NA	NA	9.8	9.8	0.392	7.0
Gambia	2001	Developing	56.3	3	3	2.25	0.000000e+00	91	99	18.5	6	85	3.71	87	2.3	NA	NA	1.0	1.0	0.384	6.8
Gambia	2000	Developing	55.9	33	3	2.18	0.000000e+00	91	336	18.0	6	84	3.61	8	2.0	NA	NA	1.2	1.2	0.377	6.5
Georgia	2015	Developing	74.4	129	1	NA	0.000000e+00	94	431	56.2	1	91	NA	94	0.1	3.764649e+03	3.717100e+04	2.7	2.8	0.768	13.9
Georgia	2014	Developing	74.5	125	1	6.13	2.214829e+02	91	3188	55.3	1	91	7.42	91	0.1	4.429658e+03	3.727000e+03	2.7	2.8	0.759	13.5
Georgia	2013	Developing	74.5	128	1	5.91	1.803787e+02	96	7872	54.4	1	94	7.25	93	0.1	4.274377e+03	3.776000e+03	2.7	2.8	0.755	13.5
Georgia	2012	Developing	74.2	13	1	7.71	1.582576e+02	92	31	53.6	1	93	8.57	92	0.1	4.142869e+03	3.825000e+03	2.6	2.8	0.749	13.4
Georgia	2011	Developing	73.9	127	1	8.14	1.989488e+02	89	64	52.8	1	88	9.38	94	0.1	3.725632e+03	3.875000e+03	2.6	2.8	0.742	13.3
Georgia	2010	Developing	73.8	132	1	7.24	1.941733e+02	95	22	52.0	1	88	1.50	92	0.1	2.964477e+03	3.926000e+03	2.6	2.8	0.738	13.3
Georgia	2009	Developing	73.2	133	1	6.66	1.853143e+01	54	23	51.3	1	93	1.19	88	0.1	2.765885e+02	3.978000e+03	2.6	2.8	0.734	12.8
Georgia	2008	Developing	73.9	128	1	7.17	1.517626e+02	89	56	5.5	1	9	8.99	92	0.1	3.174949e+03	4.300000e+01	2.6	2.8	0.735	13.1
Georgia	2007	Developing	74.4	12	1	8.65	1.061647e+02	94	44	49.9	1	88	8.17	98	0.1	2.492129e+03	4.820000e+02	2.7	2.9	0.722	12.5
Georgia	2006	Developing	73.9	126	1	6.18	1.101138e+02	84	334	49.2	1	89	8.39	88	0.1	1.872684e+03	4.136000e+03	2.7	2.9	0.714	12.6
Georgia	2005	Developing	73.9	128	1	4.70	9.444875e+00	79	1356	48.6	1	82	8.60	82	0.1	1.535752e+02	4.190000e+02	2.8	2.9	0.703	12.2
Georgia	2004	Developing	72.3	134	1	3.74	7.132565e+00	64	6847	48.1	1	66	8.53	78	0.1	1.273672e+02	4.245000e+03	2.8	3.0	0.694	12.0
Georgia	2003	Developing	72.7	132	1	3.36	7.054185e+01	48	216	47.5	2	74	8.49	75	0.1	9.281823e+02	4.310000e+02	2.9	3.0	0.684	11.8
Georgia	2002	Developing	71.7	142	2	2.72	6.055818e+01	51	199	47.0	2	89	8.72	84	0.1	7.793846e+02	4.357000e+03	2.9	3.0	0.677	11.8
Georgia	2001	Developing	73.0	121	2	2.76	5.710319e+01	61	35	46.5	2	83	7.82	87	0.1	7.339741e+02	4.386400e+04	3.0	3.1	0.673	11.7
Georgia	2000	Developing	71.8	129	2	3.28	4.781704e+01	55	50	46.0	2	81	6.94	8	0.1	6.919977e+02	4.418300e+04	3.1	3.1	0.000	11.4
Germany	2015	Developed	81.0	68	2	NA	0.000000e+00	88	2464	62.3	3	94	NA	95	0.1	4.117688e+04	8.168661e+07	1.1	1.1	0.924	17.1
Germany	2014	Developed	89.0	69	2	11.03	9.417563e+02	88	443	61.9	3	94	11.30	95	0.1	4.792653e+03	8.982500e+04	1.1	1.1	0.920	17.0
Germany	2013	Developed	86.0	71	2	10.94	8.958780e+02	88	1771	61.4	3	94	11.16	95	0.1	4.653911e+03	8.645650e+05	1.1	1.1	0.919	16.9
Germany	2012	Developed	86.0	71	2	11.18	8.399133e+02	88	166	6.9	3	94	1.99	95	0.1	4.465249e+03	8.425823e+06	1.1	1.1	0.916	16.9
Germany	2011	Developed	85.0	74	2	11.20	8.697907e+02	88	1607	6.4	3	94	1.93	95	0.1	4.681328e+03	8.274983e+06	1.1	1.1	0.912	16.8
Germany	2010	Developed	81.0	76	2	11.20	7.584079e+03	88	780	59.9	3	94	11.25	95	0.1	4.178556e+04	8.177693e+06	1.1	1.1	0.907	16.7
Germany	2009	Developed	80.0	79	2	11.22	7.641271e+03	88	574	59.5	3	95	11.40	96	0.1	4.173277e+04	8.192370e+05	1.1	1.1	0.906	16.7
Germany	2008	Developed	79.9	8	2	11.36	8.285265e+03	87	917	59.0	3	95	1.39	96	0.1	4.569920e+04	8.211970e+05	1.1	1.1	0.903	16.6
Germany	2007	Developed	79.8	82	3	11.50	7.777556e+03	86	567	58.5	3	95	1.18	96	0.1	4.181482e+04	8.226637e+07	1.1	1.1	0.898	16.6
Germany	2006	Developed	79.6	84	3	11.76	6.407536e+03	87	2307	58.0	3	94	1.34	96	0.1	3.644787e+04	8.237645e+07	1.1	1.1	0.892	16.5
Germany	2005	Developed	79.2	85	3	11.67	6.012926e+03	9	778	57.6	3	95	1.52	96	0.1	3.469663e+04	8.246942e+07	1.1	1.1	0.884	16.4
Germany	2004	Developed	79.1	86	3	11.83	5.842375e+03	88	121	57.1	3	96	1.37	96	0.1	3.416593e+04	8.251626e+06	1.1	1.1	0.877	16.4
Germany	2003	Developed	78.5	9	3	11.92	5.826157e+02	9	779	56.6	4	96	1.62	97	0.1	3.359952e+03	8.253418e+07	1.1	1.1	0.872	16.3
Germany	2002	Developed	78.4	91	3	12.25	4.371060e+02	87	4657	56.1	4	97	1.40	93	0.1	2.525164e+03	8.248850e+07	1.2	1.1	0.867	16.3
Germany	2001	Developed	78.3	92	3	12.46	4.057637e+03	86	6024	55.6	4	96	1.15	93	0.1	2.368732e+04	8.234993e+07	1.2	1.1	0.860	16.2
Germany	2000	Developed	78.0	95	3	12.91	4.238540e+03	84	0	55.1	4	94	1.10	9	0.1	2.371875e+04	8.221158e+06	1.2	1.2	0.855	16.2
Ghana	2015	Developing	62.4	249	37	NA	0.000000e+00	88	23	28.6	52	88	NA	88	0.7	1.361114e+03	2.758282e+07	6.2	6.1	0.575	11.4
Ghana	2014	Developing	62.1	253	37	0.01	9.767795e+01	98	124	28.0	54	93	3.56	98	0.8	1.432228e+03	2.696256e+07	6.4	6.3	0.576	11.7
Ghana	2013	Developing	61.9	254	38	0.01	2.866898e+01	9	319	27.3	55	91	4.63	9	0.9	1.814492e+03	2.634625e+07	6.6	6.4	0.570	11.5
Ghana	2012	Developing	61.6	257	39	0.01	1.518994e+02	92	1613	26.7	56	91	4.79	92	0.9	1.629822e+03	2.573349e+06	6.7	6.6	0.563	11.2
Ghana	2011	Developing	61.2	263	40	1.64	2.252219e+02	91	120	26.1	58	91	4.81	91	1.3	1.574979e+03	2.512180e+07	6.9	6.8	0.554	10.9
Ghana	2010	Developing	69.0	267	40	1.69	1.959825e+02	94	641	25.5	59	94	5.33	94	1.9	1.312676e+03	2.451214e+06	7.1	7.0	0.547	10.5
Ghana	2009	Developing	66.0	271	41	1.76	3.072291e+01	94	101	24.9	60	94	5.17	94	2.1	1.867654e+02	2.393831e+06	7.3	7.2	0.542	10.4
Ghana	2008	Developing	63.0	275	41	1.78	1.610106e+02	93	82	24.2	61	92	4.85	93	2.2	1.224416e+03	2.329864e+06	7.5	7.4	0.530	9.8
Ghana	2007	Developing	59.9	28	41	1.25	3.181374e+00	94	6	23.6	61	94	5.30	94	2.6	1.968672e+01	2.272120e+05	7.7	7.6	0.519	9.1
Ghana	2006	Developing	59.4	288	41	1.70	1.290263e+02	84	420	23.0	62	84	4.64	84	2.9	9.229352e+02	2.211343e+07	7.9	7.9	0.510	8.7
Ghana	2005	Developing	58.9	296	41	1.50	7.871124e+01	84	435	22.4	62	85	4.51	84	3.1	4.981724e+02	2.154290e+05	8.1	8.1	0.499	8.1
Ghana	2004	Developing	58.3	34	41	1.46	5.323776e+01	8	60	21.8	62	81	3.96	8	3.2	4.231936e+02	2.986536e+06	8.4	8.3	0.491	7.7
Ghana	2003	Developing	57.9	38	41	1.53	3.109435e+01	8	1939	21.2	63	8	3.12	8	3.4	3.732816e+02	2.446782e+06	8.6	8.5	0.489	7.9
Ghana	2002	Developing	57.6	31	42	1.60	3.336438e+00	8	12289	2.7	63	8	3.70	78	3.5	3.948447e+01	1.992452e+07	8.8	8.8	0.484	7.6
Ghana	2001	Developing	57.4	39	42	1.49	2.555981e+01	NA	13476	2.1	64	81	3.56	79	3.5	2.736597e+02	1.942165e+06	9.0	9.0	0.485	8.0
Ghana	2000	Developing	57.2	38	43	1.60	2.065433e+01	NA	23068	19.5	65	88	3.00	88	3.6	2.631125e+02	1.893876e+07	9.2	9.2	0.480	7.7
Greece	2015	Developing	81.0	72	0	NA	0.000000e+00	96	1	66.5	0	99	NA	99	0.1	1.877899e+02	1.828830e+05	0.8	0.7	0.865	17.2
Greece	2014	Developing	88.0	73	0	7.53	2.163043e+03	96	1	66.0	0	99	8.80	99	0.1	2.167378e+04	1.892413e+06	0.8	0.7	0.862	17.2
Greece	2013	Developing	86.0	74	0	7.46	2.183107e+03	98	3	65.4	0	99	9.26	99	0.1	2.187482e+04	1.965211e+06	0.8	0.7	0.860	17.1
Greece	2012	Developing	84.0	76	0	8.20	2.528993e+03	98	3	64.9	0	99	9.24	99	0.1	2.224268e+04	1.145110e+05	0.8	0.7	0.858	16.8
Greece	2011	Developing	85.0	76	0	8.02	3.192887e+03	95	40	64.3	0	99	9.77	99	0.1	2.591629e+04	1.114899e+06	0.8	0.7	0.860	16.7
Greece	2010	Developing	83.0	76	0	9.00	3.189754e+03	95	149	63.7	0	99	9.18	99	0.1	2.691776e+04	1.112134e+07	0.8	0.7	0.859	16.4
Greece	2009	Developing	80.0	78	0	9.08	3.726854e+02	95	2	63.1	0	99	9.76	99	0.1	2.971973e+03	1.117170e+05	0.8	0.7	0.857	16.2
Greece	2008	Developing	79.9	77	0	9.51	3.682887e+03	95	1	62.4	0	99	9.76	99	0.1	3.199728e+04	1.177841e+06	0.8	0.7	0.853	15.9
Greece	2007	Developing	79.4	8	0	9.67	3.632243e+03	95	2	61.8	0	99	9.41	99	0.1	2.882733e+04	1.148473e+06	0.8	0.7	0.855	16.4
Greece	2006	Developing	79.7	77	0	9.42	3.185807e+02	94	0	61.2	1	98	9.34	98	0.1	2.481158e+03	1.123620e+05	0.8	0.7	0.850	16.3
Greece	2005	Developing	79.3	81	0	9.95	2.785139e+03	93	122	6.5	1	96	9.36	96	0.1	2.255174e+04	1.987314e+06	0.8	0.7	0.839	15.6
Greece	2004	Developing	79.2	81	0	9.56	2.876125e+02	92	1	59.9	1	95	8.30	95	0.1	2.195515e+04	1.955141e+06	0.8	0.8	0.830	15.3
Greece	2003	Developing	79.1	81	0	9.46	2.124922e+03	92	0	59.2	1	93	8.61	94	0.1	1.847758e+04	1.928700e+04	0.8	0.8	0.823	15.2
Greece	2002	Developing	79.0	81	1	8.09	1.608897e+02	91	5	58.6	1	92	8.72	92	0.1	1.411313e+03	1.922200e+04	0.8	0.8	0.811	14.6
Greece	2001	Developing	78.7	83	1	8.62	1.403022e+03	9	12	58.0	1	9	8.47	91	0.1	1.253818e+04	1.862132e+06	0.9	0.8	0.801	14.2
Greece	2000	Developing	78.2	84	1	8.48	1.221824e+02	89	56	57.4	1	89	7.60	89	0.1	1.242954e+03	1.858800e+04	0.9	0.8	0.794	13.9
Grenada	2015	Developing	73.6	142	0	NA	0.000000e+00	92	0	48.4	0	99	NA	92	0.1	9.212193e+03	NA	3.8	3.8	0.751	15.8
Grenada	2014	Developing	73.5	143	0	8.42	7.892765e+02	97	0	47.4	0	81	6.10	97	0.1	8.569777e+03	NA	3.8	3.8	0.749	15.8
Grenada	2013	Developing	73.3	144	0	8.25	7.804459e+02	97	0	46.5	0	98	6.15	97	0.1	7.955616e+03	NA	3.8	3.8	0.746	15.8
Grenada	2012	Developing	73.1	146	0	8.07	8.660000e+02	97	0	45.6	0	98	6.36	97	0.1	7.583187e+03	NA	3.8	3.8	0.744	15.8
Grenada	2011	Developing	72.9	15	0	7.84	1.156716e+01	94	0	44.7	0	95	6.35	95	0.1	7.414844e+02	NA	3.8	3.8	0.741	15.8
Grenada	2010	Developing	72.6	154	0	7.91	1.458402e+02	97	0	43.9	0	94	6.41	97	0.1	7.365667e+03	NA	3.8	3.8	0.000	15.8
Grenada	2009	Developing	72.4	158	0	8.42	1.464384e+02	99	0	43.1	0	99	6.24	99	0.1	7.395881e+03	NA	3.8	3.8	0.000	15.6
Grenada	2008	Developing	72.1	162	0	8.92	7.549597e+02	99	0	42.4	0	99	5.76	99	0.1	7.946944e+03	NA	3.8	3.9	0.000	15.4
Grenada	2007	Developing	71.9	164	0	9.06	9.519376e+01	96	0	41.8	0	96	5.88	96	0.1	7.322597e+03	NA	3.9	3.9	0.000	15.3
Grenada	2006	Developing	71.7	167	0	9.06	6.622664e+02	91	0	41.1	0	91	5.99	91	0.1	6.764723e+03	NA	3.9	3.9	0.000	15.1
Grenada	2005	Developing	71.5	169	0	8.80	1.195549e+02	99	0	4.5	0	99	5.50	99	0.1	6.754512e+03	NA	3.9	4.0	0.000	14.9
Grenada	2004	Developing	73.0	187	0	8.43	1.009659e+02	83	0	39.9	0	84	5.24	83	0.1	5.836178e+03	NA	4.0	4.0	0.000	14.8
Grenada	2003	Developing	71.1	173	0	9.75	7.794543e+01	97	0	39.4	0	98	5.89	97	0.1	5.773736e+03	NA	4.0	4.1	0.000	14.6
Grenada	2002	Developing	79.0	176	0	10.71	5.133465e+02	98	0	38.8	0	98	6.67	98	0.1	5.292232e+03	NA	4.1	4.1	0.000	14.4
Grenada	2001	Developing	77.0	178	0	9.61	8.111356e+01	96	0	38.2	0	96	7.67	96	0.1	5.199587e+02	NA	4.2	4.2	0.000	14.3
Grenada	2000	Developing	74.0	182	0	9.40	6.765454e+02	NA	0	37.7	0	97	6.62	97	0.1	5.117590e+03	NA	4.3	4.2	0.000	14.1
Guatemala	2015	Developing	71.9	186	10	NA	0.000000e+00	74	0	5.6	12	9	NA	74	0.4	3.923573e+03	1.625243e+07	1.2	1.2	0.637	10.7
Guatemala	2014	Developing	71.7	187	10	1.88	6.575283e+02	73	0	49.9	13	65	6.20	73	0.4	3.687764e+03	1.592356e+07	1.2	1.2	0.614	10.7
Guatemala	2013	Developing	71.4	189	11	1.93	5.821470e+02	85	0	49.3	13	84	6.30	85	0.4	3.452829e+03	1.559621e+07	1.2	1.2	0.611	10.7
Guatemala	2012	Developing	71.3	189	11	2.02	4.847188e+02	96	0	48.6	13	94	6.33	96	0.4	3.299651e+03	1.527156e+06	1.2	1.2	0.616	10.6
Guatemala	2011	Developing	71.1	193	11	2.16	4.577746e+02	88	0	47.9	14	88	6.28	88	0.4	3.187845e+03	1.494892e+07	1.2	1.2	0.609	10.5
Guatemala	2010	Developing	77.0	196	12	2.14	4.433248e+02	94	0	47.2	14	94	6.64	94	0.4	2.825525e+03	1.463417e+06	1.3	1.3	0.602	10.5
Guatemala	2009	Developing	76.0	198	12	2.14	4.454423e+02	92	0	46.5	15	92	6.79	92	0.4	2.635753e+03	1.431628e+06	1.3	1.3	0.596	10.4
Guatemala	2008	Developing	79.0	19	13	2.21	4.722235e+02	95	0	45.9	15	96	6.65	95	0.4	2.794222e+03	1.463660e+05	1.3	1.3	0.589	10.4
Guatemala	2007	Developing	75.0	192	13	2.40	3.809632e+02	85	0	45.2	16	85	6.86	85	0.4	2.489956e+03	1.372860e+05	1.3	1.3	0.578	10.1
Guatemala	2006	Developing	69.7	24	14	2.38	3.520245e+02	89	0	44.5	17	9	7.70	89	0.4	2.256567e+03	1.339780e+05	1.4	1.4	0.570	9.8
Guatemala	2005	Developing	69.2	28	14	2.35	4.150846e+01	87	0	43.8	18	87	6.79	87	0.4	2.778344e+02	1.396280e+05	1.4	1.4	0.567	9.6
Guatemala	2004	Developing	69.6	21	15	2.40	2.884016e+02	NA	0	43.1	18	88	6.77	87	0.4	1.872738e+03	1.279693e+07	1.4	1.4	0.564	9.3
Guatemala	2003	Developing	69.4	24	15	2.45	2.493263e+02	NA	0	42.4	19	84	6.88	84	0.4	1.753349e+03	1.254780e+05	1.4	1.4	0.560	9.0
Guatemala	2002	Developing	69.3	21	16	2.41	2.525041e+01	NA	0	41.7	20	82	6.71	82	0.3	1.717715e+02	1.228848e+06	1.5	1.5	0.553	8.8
Guatemala	2001	Developing	68.4	211	16	2.53	2.250620e+02	NA	0	41.1	20	78	6.76	77	0.3	1.568376e+03	1.192495e+07	1.5	1.5	0.546	8.5
Guatemala	2000	Developing	67.7	221	17	2.63	2.387370e+02	NA	0	4.4	21	8	5.25	81	0.2	1.655596e+03	1.165743e+06	1.6	1.6	0.539	8.2
Guinea	2015	Developing	59.0	284	26	NA	0.000000e+00	54	243	23.3	40	42	NA	54	0.5	5.544877e+02	1.291533e+06	7.3	7.3	0.414	8.8
Guinea	2014	Developing	58.1	299	27	0.01	5.057976e+01	51	175	22.7	41	42	5.64	51	0.5	5.619974e+02	1.185590e+05	7.5	7.4	0.412	8.6
Guinea	2013	Developing	58.8	284	27	0.01	5.140669e+00	63	53	22.2	41	63	5.49	63	1.0	5.416932e+01	1.153662e+07	7.7	7.6	0.406	8.5
Guinea	2012	Developing	58.4	288	28	0.01	4.344931e+00	62	6	21.7	42	63	5.39	62	1.9	5.234856e+01	1.128147e+07	7.8	7.8	0.396	8.5
Guinea	2011	Developing	58.1	29	28	0.22	4.225479e+01	63	11	21.2	43	63	4.73	63	2.0	4.592912e+02	1.135170e+05	8.0	8.0	0.385	8.4
Guinea	2010	Developing	57.8	291	29	0.20	2.974734e+01	64	45	2.8	44	62	4.55	64	2.2	4.387513e+02	1.794170e+05	8.2	8.2	0.380	8.3
Guinea	2009	Developing	57.3	297	29	0.18	2.484764e+01	57	264	2.3	46	6	3.85	57	2.3	4.366896e+02	1.556524e+06	8.4	8.4	0.376	8.1
Guinea	2008	Developing	56.8	33	30	0.21	1.968510e+01	57	89	19.8	47	59	3.21	6	2.3	4.374467e+02	1.323142e+06	8.6	8.6	0.371	7.9
Guinea	2007	Developing	56.4	36	31	0.19	1.399627e+00	57	3	19.4	48	46	3.80	63	2.4	4.945678e+01	1.967270e+05	8.9	8.8	0.364	7.6
Guinea	2006	Developing	55.6	317	31	0.16	1.038393e+01	NA	4	19.0	49	53	3.20	57	2.6	2.966838e+02	9.881428e+06	9.1	9.1	0.356	7.1
Guinea	2005	Developing	54.7	327	32	0.21	1.099666e+00	NA	99	18.5	51	59	2.82	59	2.7	3.342450e+01	9.679745e+06	9.3	9.3	0.346	6.6
Guinea	2004	Developing	54.0	334	33	0.34	1.893011e+01	NA	10	18.1	53	65	3.14	6	2.8	3.863288e+02	9.492290e+05	9.5	9.5	0.325	5.1
Guinea	2003	Developing	53.3	338	34	0.18	2.395241e+00	NA	2497	17.7	55	61	3.45	57	2.9	3.719318e+01	9.398480e+05	9.7	9.7	0.338	5.9
Guinea	2002	Developing	52.9	337	35	0.21	2.133782e+01	NA	2151	17.3	56	56	3.76	53	3.0	3.228112e+02	9.137345e+06	9.9	9.9	0.329	5.5
Guinea	2001	Developing	52.5	336	36	0.17	1.989791e+01	NA	7408	16.9	58	52	3.65	5	3.0	3.158398e+02	8.971139e+06	1.1	1.1	0.322	5.1
Guinea	2000	Developing	52.5	328	37	0.17	2.215986e+00	NA	11294	16.6	60	47	3.46	46	3.0	3.451692e+01	8.885460e+05	1.3	1.3	0.316	4.8
Guinea-Bissau	2015	Developing	58.9	275	4	NA	0.000000e+00	87	153	26.3	6	87	NA	87	3.2	5.968717e+02	1.775260e+05	7.1	7.0	0.421	9.2
Guinea-Bissau	2014	Developing	58.4	282	4	0.01	5.006054e+01	87	1	25.6	6	87	5.59	87	3.4	6.426256e+02	1.725744e+06	7.3	7.1	0.419	9.2
Guinea-Bissau	2013	Developing	58.1	279	4	0.01	8.200637e+00	87	0	25.0	6	87	6.14	87	4.5	6.156635e+01	1.681495e+06	7.5	7.3	0.415	9.1
Guinea-Bissau	2012	Developing	57.6	285	4	0.01	9.485264e-01	87	0	24.3	6	87	5.96	87	5.3	6.775188e+01	1.638139e+06	7.7	7.5	0.416	9.1
Guinea-Bissau	2011	Developing	57.1	289	4	3.57	4.045367e+01	86	0	23.7	7	85	5.46	86	5.7	6.926999e+02	1.596154e+06	7.8	7.7	0.410	9.0
Guinea-Bissau	2010	Developing	56.7	287	4	3.21	5.330783e+01	83	26	23.1	7	82	6.70	83	5.9	5.439574e+02	1.555880e+05	8.0	7.9	0.405	8.9
Guinea-Bissau	2009	Developing	56.3	288	4	2.55	4.712969e+01	8	0	22.5	7	78	6.81	8	6.0	5.442228e+02	1.517448e+06	8.3	8.1	0.401	8.9
Guinea-Bissau	2008	Developing	55.6	297	5	2.64	2.830191e+01	NA	12	21.9	7	77	6.50	77	6.0	5.835446e+02	1.488410e+05	8.5	8.4	0.398	8.8
Guinea-Bissau	2007	Developing	55.0	32	5	2.98	3.106933e+01	NA	1	21.3	7	76	6.10	74	5.7	4.816950e+02	1.445958e+06	8.7	8.6	0.394	8.8
Guinea-Bissau	2006	Developing	54.4	36	5	3.22	2.153375e+01	NA	0	2.7	8	74	5.87	71	5.6	4.189445e+02	1.412669e+06	8.9	8.8	0.388	8.3
Guinea-Bissau	2005	Developing	53.9	37	5	3.10	2.209758e+01	NA	0	2.1	8	73	5.72	68	5.4	4.249535e+02	1.388380e+05	9.2	9.0	0.000	8.0
Guinea-Bissau	2004	Developing	53.5	38	5	2.58	1.353000e+01	NA	3526	19.6	8	69	5.41	64	5.0	3.933138e+02	1.353450e+05	9.4	9.3	0.000	7.7
Guinea-Bissau	2003	Developing	53.0	38	5	2.16	2.527115e+00	NA	1158	19.0	8	65	5.62	6	4.6	3.657186e+01	1.321220e+05	9.6	9.5	0.000	7.4
Guinea-Bissau	2002	Developing	52.8	35	5	2.47	2.465762e+01	NA	298	18.5	8	61	5.84	57	4.1	3.214813e+02	1.293523e+06	9.8	9.7	0.000	7.1
Guinea-Bissau	2001	Developing	52.5	32	5	2.55	8.687085e-01	NA	126	17.9	9	56	5.40	53	3.6	3.948675e+01	1.267512e+06	1.0	1.0	0.000	6.7
Guinea-Bissau	2000	Developing	52.1	3	5	2.84	6.699419e+00	NA	0	17.4	9	52	4.94	49	3.1	2.977519e+02	1.243229e+06	1.2	1.2	0.000	6.4
Guyana	2015	Developing	66.2	215	0	NA	0.000000e+00	95	0	46.7	1	92	NA	95	0.3	4.136690e+03	7.685140e+05	5.5	5.3	0.638	10.3
Guyana	2014	Developing	66.0	217	0	7.64	4.141293e+00	98	0	45.9	1	97	5.25	98	0.3	4.382321e+01	7.633930e+05	5.5	5.3	0.636	10.3
Guyana	2013	Developing	65.9	218	0	7.56	3.459044e+02	98	0	45.0	1	98	5.10	98	0.3	3.944178e+03	7.588100e+04	5.5	5.3	0.633	10.3
Guyana	2012	Developing	65.8	22	0	7.57	4.974719e+02	97	0	44.1	1	97	6.57	97	0.3	3.785936e+03	7.539100e+04	5.6	5.3	0.630	10.6
Guyana	2011	Developing	65.6	229	0	7.56	5.362333e+02	93	0	43.2	1	93	6.80	93	0.4	3.439598e+03	7.491000e+03	5.6	5.3	0.624	10.3
Guyana	2010	Developing	65.9	221	0	7.52	4.802859e+01	95	0	42.4	1	95	6.60	95	0.4	3.262812e+02	7.465560e+05	5.6	5.3	0.618	10.2
Guyana	2009	Developing	66.1	218	0	7.49	4.666694e+02	98	0	41.6	1	97	7.32	98	0.3	2.716353e+03	7.456930e+05	5.6	5.4	0.618	10.5
Guyana	2008	Developing	66.3	218	1	7.32	4.933279e+02	93	0	4.9	1	93	7.46	93	0.8	2.576125e+03	7.463140e+05	5.6	5.4	0.618	10.7
Guyana	2007	Developing	65.7	232	1	7.20	3.628702e+02	94	0	4.3	1	94	6.45	94	1.9	2.327583e+03	7.478690e+05	5.7	5.5	0.620	11.2
Guyana	2006	Developing	65.2	24	1	7.04	1.706326e+02	93	0	39.6	1	92	4.67	93	1.1	1.945639e+03	7.496100e+04	5.7	5.5	0.622	11.7
Guyana	2005	Developing	65.0	238	1	7.35	1.746406e+01	93	0	39.0	1	93	5.83	93	1.8	1.984552e+02	7.594600e+04	5.7	5.5	0.619	11.4
Guyana	2004	Developing	65.1	237	1	7.84	1.776181e+00	91	0	38.4	1	91	5.73	91	1.9	1.455886e+02	7.516520e+05	5.8	5.6	0.613	11.2
Guyana	2003	Developing	65.3	237	1	7.93	1.647949e+01	9	0	37.8	1	91	5.97	9	2.1	9.867958e+02	7.518570e+05	5.8	5.6	0.611	11.1
Guyana	2002	Developing	65.3	244	1	7.73	1.093634e+01	91	0	37.1	1	93	5.84	91	2.3	9.686748e+01	7.518840e+05	5.9	5.7	0.609	11.0
Guyana	2001	Developing	65.4	247	1	6.71	1.554979e+01	85	0	36.4	1	9	5.82	85	1.7	9.255825e+02	7.522630e+05	5.9	5.7	0.606	10.9
Guyana	2000	Developing	65.4	246	1	6.63	1.675481e+01	NA	0	35.7	1	79	5.85	88	1.1	9.465994e+02	7.533100e+04	5.9	5.8	0.602	10.9
Haiti	2015	Developing	63.5	24	14	NA	0.000000e+00	6	0	49.9	18	56	NA	6	0.5	8.145464e+02	1.711610e+05	3.9	3.9	0.490	9.1
Haiti	2014	Developing	63.1	245	14	0.01	5.103249e+00	48	0	48.8	19	55	7.56	48	0.5	8.311481e+01	1.572466e+06	3.9	3.9	0.487	9.1
Haiti	2013	Developing	62.7	253	14	5.68	4.989712e+00	68	0	47.7	19	67	8.10	68	0.5	8.126567e+01	1.431776e+06	3.9	3.9	0.483	9.1
Haiti	2012	Developing	62.3	259	15	5.68	2.637943e+01	NA	0	46.5	20	67	9.88	67	0.8	7.668438e+02	1.289210e+05	3.9	3.9	0.477	8.9
Haiti	2011	Developing	62.3	259	15	5.68	4.106484e+00	NA	0	45.3	20	67	1.41	68	1.5	7.493585e+01	1.145540e+05	4.0	4.0	0.470	8.7
Haiti	2010	Developing	36.3	682	23	5.76	3.629292e+01	NA	0	44.2	58	66	8.90	66	1.9	6.622795e+02	9.999617e+06	4.0	4.0	0.470	8.6
Haiti	2009	Developing	62.5	251	16	5.85	4.130079e+01	NA	0	43.0	21	65	6.68	65	2.0	6.682976e+02	9.852870e+05	4.1	4.1	0.466	8.5
Haiti	2008	Developing	62.1	259	16	5.95	6.383196e+01	NA	0	41.8	22	64	5.92	63	2.4	6.747564e+02	9.752900e+04	4.2	4.2	0.462	8.4
Haiti	2007	Developing	61.8	266	17	6.08	5.677859e+01	NA	0	4.7	23	62	5.56	63	2.7	6.158198e+02	9.556889e+06	4.2	4.2	0.458	8.4
Haiti	2006	Developing	61.1	28	17	6.18	6.995556e+00	NA	0	39.6	23	61	5.70	6	3.3	5.547626e+01	9.494570e+05	4.3	4.3	0.455	8.3
Haiti	2005	Developing	65.0	29	17	5.57	3.810904e+01	NA	0	38.5	24	6	4.41	6	3.9	4.653119e+02	9.263440e+05	4.4	4.4	0.452	8.2
Haiti	2004	Developing	58.7	32	18	6.10	6.439853e+01	NA	0	37.5	24	58	5.61	55	4.3	3.879430e+02	9.119178e+06	4.5	4.5	0.450	8.1
Haiti	2003	Developing	59.7	3	18	6.64	4.425687e+01	NA	0	36.5	25	56	5.32	53	4.6	3.297829e+02	8.976552e+06	4.5	4.6	0.447	8.1
Haiti	2002	Developing	59.3	33	19	6.10	5.028558e+01	NA	0	35.6	26	54	5.47	48	4.8	3.931633e+02	8.834733e+06	4.6	4.7	0.444	8.0
Haiti	2001	Developing	58.9	35	19	6.22	6.077816e+01	NA	159	34.8	27	52	5.63	45	5.0	4.137383e+02	8.692567e+06	4.7	4.7	0.443	7.9
Haiti	2000	Developing	58.6	35	20	4.79	7.446033e+01	NA	992	34.0	28	5	6.60	41	5.1	4.624865e+02	8.549200e+04	4.8	4.8	0.439	7.8
Honduras	2015	Developing	74.6	147	3	NA	0.000000e+00	97	0	51.0	4	97	NA	97	0.3	2.326159e+03	8.968290e+05	2.1	2.1	0.623	11.2
Honduras	2014	Developing	74.5	149	3	2.87	3.453776e+02	97	0	5.2	4	97	8.72	97	0.3	2.242712e+03	8.892160e+05	2.1	2.1	0.618	11.4
Honduras	2013	Developing	74.3	15	4	3.11	3.117553e+02	97	0	49.3	4	97	9.15	97	0.4	2.136774e+03	8.657785e+06	2.2	2.1	0.614	11.6
Honduras	2012	Developing	74.1	151	4	3.11	3.635722e+02	97	0	48.4	4	97	9.78	97	0.4	2.178383e+03	8.556460e+05	2.2	2.1	0.614	11.6
Honduras	2011	Developing	73.9	153	4	3.10	3.216408e+01	97	0	47.6	5	97	8.57	97	0.4	2.125848e+02	8.351600e+04	2.2	2.2	0.611	11.7
Honduras	2010	Developing	73.6	156	4	3.10	3.021058e+02	97	0	46.8	5	97	8.45	97	0.4	1.932858e+03	8.194778e+06	2.3	2.2	0.606	11.5
Honduras	2009	Developing	73.4	157	4	3.08	2.861211e+02	97	0	45.9	5	97	8.84	97	0.5	1.815489e+03	8.352100e+04	2.3	2.2	0.603	11.3
Honduras	2008	Developing	73.2	159	4	3.14	2.319113e+02	92	0	45.1	5	93	8.40	93	0.6	1.751596e+03	7.872658e+06	2.3	2.3	0.597	11.1
Honduras	2007	Developing	73.0	16	5	3.16	2.224823e+02	93	0	44.3	6	94	7.89	94	0.7	1.592572e+03	7.779720e+05	2.4	2.3	0.590	10.9
Honduras	2006	Developing	72.8	161	5	3.23	1.929298e+02	94	0	43.5	6	94	7.63	95	0.8	1.437629e+03	7.541460e+05	2.4	2.4	0.583	10.8
Honduras	2005	Developing	72.5	163	5	3.23	2.037135e+02	97	0	42.8	6	98	7.81	98	0.9	1.311742e+03	7.373430e+05	2.5	2.4	0.577	10.6
Honduras	2004	Developing	72.2	165	5	3.02	1.882499e+02	93	0	42.0	7	94	7.89	94	1.2	1.217658e+03	7.241530e+05	2.6	2.5	0.571	10.4
Honduras	2003	Developing	71.9	166	6	3.04	1.944336e+02	91	0	41.2	7	92	8.29	92	1.4	1.157343e+03	7.338210e+05	2.6	2.5	0.566	10.3
Honduras	2002	Developing	71.6	169	6	3.09	1.548636e+02	94	0	4.4	7	95	7.28	95	1.5	1.132872e+03	6.863157e+06	2.7	2.6	0.561	10.1
Honduras	2001	Developing	71.3	171	6	2.74	1.536175e+01	95	0	39.6	8	99	6.88	96	1.6	1.134546e+02	6.693610e+05	2.7	2.7	0.557	9.9
Honduras	2000	Developing	71.0	174	6	2.61	2.880831e+01	93	0	38.8	8	88	6.63	94	1.7	1.887832e+02	6.524283e+06	2.8	2.7	0.551	9.8
Hungary	2015	Developed	75.8	134	0	NA	0.000000e+00	NA	0	64.8	0	99	NA	99	0.1	1.236563e+04	9.843280e+05	1.6	1.6	0.834	15.6
Hungary	2014	Developed	75.6	137	0	0.01	1.609449e+02	NA	0	64.2	0	99	7.40	99	0.1	1.411798e+04	9.866468e+06	1.7	1.6	0.834	15.8
Hungary	2013	Developed	75.5	139	0	10.88	1.551952e+02	NA	1	63.6	1	99	7.53	99	0.1	1.361361e+04	9.893820e+05	1.7	1.7	0.824	15.4
Hungary	2012	Developed	75.0	146	0	11.27	1.642793e+02	NA	2	63.0	1	99	7.74	99	0.1	1.283432e+04	9.923620e+05	1.7	1.7	0.823	15.4
Hungary	2011	Developed	74.8	15	0	11.51	1.782122e+01	NA	5	62.4	1	99	7.84	99	0.1	1.448880e+03	9.971727e+06	1.7	1.7	0.821	15.4
Hungary	2010	Developed	74.5	156	0	10.78	1.922024e+01	NA	0	61.7	1	99	7.85	99	0.1	1.325534e+03	1.230000e+02	1.8	1.8	0.817	15.3
Hungary	2009	Developed	74.2	162	0	11.46	1.281156e+03	NA	1	61.1	1	99	7.55	99	0.1	1.296717e+04	1.226500e+04	1.8	1.8	0.816	15.3
Hungary	2008	Developed	74.1	165	1	11.64	1.817634e+02	NA	0	6.5	1	99	7.33	99	0.1	1.566926e+04	1.381880e+05	1.9	1.9	0.812	15.3
Hungary	2007	Developed	73.5	176	1	12.55	1.633433e+02	NA	0	59.9	1	99	7.51	99	0.1	1.384265e+04	1.557800e+04	1.9	1.9	0.809	15.3
Hungary	2006	Developed	73.4	177	1	13.16	1.299459e+03	NA	1	59.3	1	99	8.10	99	0.1	1.139877e+04	1.713700e+04	2.0	2.0	0.802	15.2
Hungary	2005	Developed	72.9	182	1	12.94	1.317083e+03	NA	2	58.8	1	99	8.28	99	0.1	1.116172e+04	1.876500e+04	2.0	2.0	0.795	15.0
Hungary	2004	Developed	72.9	18	1	13.28	1.468608e+02	NA	0	58.2	1	99	8.80	99	0.1	1.259527e+03	1.171460e+05	2.1	2.1	0.793	15.3
Hungary	2003	Developed	72.5	184	1	13.24	1.030220e+03	NA	0	57.6	1	99	8.42	99	0.1	8.396253e+03	1.129552e+06	2.1	2.1	0.784	14.9
Hungary	2002	Developed	72.5	184	1	13.29	8.986198e+00	NA	0	57.1	1	98	7.47	99	0.1	6.656443e+02	1.158680e+05	2.2	2.2	0.775	14.6
Hungary	2001	Developed	72.3	185	1	13.18	7.601092e+00	NA	20	56.6	1	99	7.11	99	0.1	5.278536e+02	1.187576e+06	2.2	2.2	0.769	14.2
Hungary	2000	Developed	71.7	193	1	12.22	7.536251e+01	NA	1	56.1	1	99	7.60	99	0.1	4.623467e+03	1.219710e+05	2.3	2.3	0.761	13.9
Iceland	2015	Developed	82.7	49	0	NA	0.000000e+00	NA	0	61.0	0	92	NA	92	0.1	5.734444e+03	3.381500e+04	1.0	0.9	0.919	19.0
Iceland	2014	Developed	82.5	49	0	7.45	8.254021e+03	NA	0	6.6	0	9	8.86	9	0.1	5.247311e+04	3.273860e+05	1.0	0.9	0.915	19.0
Iceland	2013	Developed	82.4	5	0	7.31	7.645441e+02	NA	0	6.2	0	91	8.75	91	0.1	4.781389e+03	3.237640e+05	1.0	0.9	0.907	19.0
Iceland	2012	Developed	82.5	5	0	7.81	6.818546e+03	NA	0	59.7	0	89	8.68	89	0.1	4.433385e+04	3.271600e+04	1.0	0.9	0.901	18.7
Iceland	2011	Developed	82.1	51	0	8.13	7.048093e+00	NA	0	59.3	0	95	8.65	95	0.1	4.621700e+01	3.191400e+04	0.9	0.9	0.894	18.6
Iceland	2010	Developed	81.8	53	0	8.25	6.005576e+03	NA	0	58.9	0	96	8.86	96	0.1	4.167645e+04	3.184100e+04	0.9	0.9	0.894	18.4
Iceland	2009	Developed	81.6	55	0	10.22	6.875776e+02	NA	0	58.5	0	96	9.12	96	0.1	4.461893e+03	3.184990e+05	0.9	0.9	0.894	18.4
Iceland	2008	Developed	81.4	58	0	8.49	7.613815e+03	NA	0	58.1	0	98	8.80	98	0.1	5.557529e+04	3.174140e+05	0.9	0.9	0.892	18.2
Iceland	2007	Developed	81.3	59	0	7.53	1.204297e+04	NA	0	57.8	0	97	8.75	97	0.1	6.834832e+04	3.115660e+05	0.9	0.9	0.887	18.2
Iceland	2006	Developed	81.1	61	0	7.20	1.003140e+03	NA	0	57.4	0	97	8.96	97	0.1	5.613541e+03	3.378200e+04	0.9	0.9	0.884	18.1
Iceland	2005	Developed	81.0	62	0	7.05	1.063120e+04	NA	0	56.9	0	95	9.21	95	0.1	5.624976e+04	2.967340e+05	0.9	0.9	0.879	17.9
Iceland	2004	Developed	88.0	65	0	6.79	8.506101e+03	NA	0	56.5	0	99	9.59	99	0.1	4.691727e+04	2.927400e+04	1.0	0.9	0.873	18.3
Iceland	2003	Developed	87.0	65	0	6.61	7.254853e+02	NA	0	55.9	0	97	1.70	97	0.1	3.944999e+03	2.895210e+05	1.0	0.9	0.866	17.6
Iceland	2002	Developed	84.0	7	0	6.61	5.948097e+03	NA	0	55.4	0	95	9.86	95	0.1	3.199622e+04	2.875230e+05	1.0	0.9	0.859	17.2
Iceland	2001	Developed	80.0	72	0	6.37	5.048274e+03	NA	0	54.8	0	92	9.12	92	0.1	2.858593e+04	2.849680e+05	1.0	0.9	0.854	17.1
Iceland	2000	Developed	79.7	74	0	6.17	5.809122e+03	NA	0	54.2	0	98	9.28	98	0.1	3.181337e+04	2.812500e+04	1.0	0.9	0.847	16.8
India	2015	Developing	68.3	181	910	NA	0.000000e+00	87	90387	18.7	1100	86	NA	87	0.2	1.613189e+03	1.395398e+06	26.7	27.3	0.615	11.6
India	2014	Developing	68.0	184	957	3.07	8.652154e+01	79	79563	18.1	1200	84	4.69	85	0.2	1.573119e+03	1.293859e+09	26.8	27.4	0.607	11.6
India	2013	Developing	67.6	187	1000	3.11	6.767230e+01	7	13822	17.5	1300	82	4.53	83	0.2	1.452195e+03	1.278562e+08	26.8	27.5	0.599	11.5
India	2012	Developing	67.3	19	1100	3.10	6.496964e+01	73	18668	17.0	1400	79	4.39	82	0.2	1.446985e+03	1.263659e+08	26.9	27.6	0.590	11.3
India	2011	Developing	66.8	193	1100	3.00	6.460590e+01	44	33634	16.4	1500	79	4.33	82	0.2	1.461672e+03	1.247236e+08	26.9	27.7	0.580	10.8
India	2010	Developing	66.4	196	1200	2.77	5.773360e+01	38	31458	15.9	1600	76	4.28	79	0.2	1.345772e+03	1.239869e+07	27.0	27.8	0.569	10.4
India	2009	Developing	66.0	2	1300	2.50	8.441863e-01	37	56188	15.4	1700	73	4.38	74	0.2	1.931777e+01	1.214271e+08	27.0	27.8	0.563	10.5
India	2008	Developing	65.5	23	1300	1.93	4.303043e+01	29	44258	14.9	1800	69	4.34	7	0.3	9.914846e+02	1.197147e+08	27.0	27.9	0.556	10.2
India	2007	Developing	65.2	26	1400	1.59	5.234770e+00	6	41144	14.4	1900	67	4.23	64	0.3	1.181664e+02	1.179681e+09	27.1	28.0	0.546	9.9
India	2006	Developing	64.8	28	1500	1.37	3.485943e+01	6	64185	13.9	2000	66	4.25	65	0.3	7.922597e+02	1.161978e+09	27.1	28.0	0.536	9.7
India	2005	Developing	64.4	211	1500	1.27	3.509637e+00	8	36711	13.5	2000	65	4.28	65	0.3	7.781900e+01	1.144119e+09	27.2	28.1	0.526	9.4
India	2004	Developing	64.0	214	1600	1.20	2.733801e+01	6	55443	13.0	2100	58	4.22	63	0.3	6.213184e+02	1.126136e+09	27.2	28.2	0.518	9.2
India	2003	Developing	63.7	216	1700	1.19	1.948087e+01	NA	47147	12.6	2200	57	4.30	61	0.3	5.411352e+02	1.182785e+07	27.3	28.3	0.505	8.6
India	2002	Developing	63.3	219	1700	1.10	1.781206e+01	NA	40044	12.2	2300	58	4.40	59	0.3	4.662842e+02	1.898711e+07	27.4	28.4	0.499	8.4
India	2001	Developing	62.9	222	1800	1.00	1.900341e+01	NA	51780	11.8	2400	58	4.50	59	0.3	4.471390e+02	1.714779e+08	27.5	28.5	0.494	8.3
India	2000	Developing	62.5	224	1800	0.93	1.926616e+01	NA	38835	11.4	2500	57	4.26	58	0.3	4.388646e+02	1.535912e+06	27.7	28.6	0.489	8.3
Indonesia	2015	Developing	69.1	176	114	NA	0.000000e+00	78	15099	27.4	136	8	NA	78	0.3	3.336167e+03	2.581621e+08	1.4	1.2	0.686	12.9
Indonesia	2014	Developing	68.9	179	119	0.09	2.000684e+02	78	12943	26.5	142	8	2.85	78	0.3	3.491596e+03	2.551311e+08	1.4	1.2	0.682	12.9
Indonesia	2013	Developing	68.7	181	124	0.09	2.284783e+01	85	8419	25.6	148	86	2.93	85	0.3	3.626640e+02	2.523226e+07	1.5	1.3	0.677	12.9
Indonesia	2012	Developing	68.5	183	129	0.08	2.544688e+02	83	15489	24.7	154	84	2.90	83	0.3	3.687954e+03	2.488832e+08	1.5	1.4	0.669	12.6
Indonesia	2011	Developing	68.3	185	134	0.08	2.118783e+02	81	21893	23.8	161	81	2.71	81	0.3	3.634277e+03	2.457751e+07	1.6	1.5	0.662	12.3
Indonesia	2010	Developing	68.1	187	138	0.08	1.905454e+02	83	18869	22.9	167	82	2.74	81	0.3	3.113486e+03	2.425241e+08	1.6	1.5	0.656	12.1
Indonesia	2009	Developing	67.9	189	143	0.08	1.257981e+02	82	20818	22.1	174	85	2.83	78	0.3	2.254446e+03	2.393448e+07	1.7	1.6	0.645	11.7
Indonesia	2008	Developing	67.7	189	149	0.07	1.026341e+01	82	15369	21.3	181	83	2.81	77	0.2	2.165277e+02	2.361593e+08	1.7	1.7	0.641	11.7
Indonesia	2007	Developing	67.5	19	154	0.06	1.026334e+02	76	19456	2.5	188	77	3.10	73	0.2	1.855939e+03	2.329891e+08	1.8	1.7	0.638	11.0
Indonesia	2006	Developing	67.3	191	159	0.06	7.201593e+01	66	20422	19.7	194	78	2.91	72	0.1	1.586254e+03	2.298382e+07	1.8	1.8	0.632	10.9
Indonesia	2005	Developing	67.2	19	163	0.06	5.381783e+00	65	15853	19.0	201	79	2.79	72	0.1	1.269288e+02	2.267127e+07	1.9	1.9	0.629	11.1
Indonesia	2004	Developing	65.3	213	174	0.06	5.536107e+01	64	29171	18.2	237	79	2.37	71	0.1	1.148570e+03	2.236146e+08	1.9	1.9	0.624	11.0
Indonesia	2003	Developing	66.9	189	173	0.05	8.460156e+00	64	24457	17.5	215	8	2.53	71	0.1	1.645945e+02	2.254521e+07	1.9	11.0	0.613	10.8
Indonesia	2002	Developing	66.7	189	177	0.05	4.317867e+01	63	14492	16.7	222	8	2.27	7	0.1	8.995557e+02	2.175859e+06	11.0	11.1	0.608	10.6
Indonesia	2001	Developing	66.5	188	182	0.06	3.395837e+01	62	3825	16.0	229	77	2.23	76	0.1	7.479817e+02	2.145652e+06	11.0	11.1	0.604	10.6
Indonesia	2000	Developing	66.3	188	187	0.06	3.433344e+00	65	3344	15.4	237	72	1.98	75	0.1	7.892744e+01	2.115443e+07	11.0	11.2	0.597	10.7
Iran (Islamic Republic of)	2015	Developing	75.5	83	18	NA	0.000000e+00	98	615	59.7	21	98	NA	98	0.1	NA	NA	8.5	8.6	0.774	14.8
Iran (Islamic Republic of)	2014	Developing	75.4	83	19	0.01	0.000000e+00	99	99	58.5	22	99	6.89	99	0.1	NA	NA	8.3	8.4	0.770	14.9
Iran (Islamic Republic of)	2013	Developing	75.3	83	20	0.01	0.000000e+00	99	189	57.2	23	98	6.49	98	0.1	NA	NA	8.2	8.3	0.769	15.0
Iran (Islamic Republic of)	2012	Developing	75.1	85	21	0.01	0.000000e+00	98	332	56.0	24	99	6.98	99	0.1	NA	NA	8.0	8.2	0.755	13.6
Iran (Islamic Republic of)	2011	Developing	74.7	93	22	0.03	0.000000e+00	99	73	54.8	25	99	7.12	99	0.1	NA	NA	7.9	8.1	0.745	13.1
Iran (Islamic Republic of)	2010	Developing	74.1	16	22	0.03	0.000000e+00	99	538	53.6	26	99	8.20	99	0.1	NA	NA	7.8	8.0	0.735	12.9
Iran (Islamic Republic of)	2009	Developing	73.3	122	23	0.03	0.000000e+00	99	262	52.5	27	99	7.63	99	0.1	NA	NA	7.7	7.9	0.728	12.8
Iran (Islamic Republic of)	2008	Developing	72.7	135	24	0.02	0.000000e+00	99	127	51.4	28	99	6.28	99	0.1	NA	NA	7.6	7.8	0.716	12.1
Iran (Islamic Republic of)	2007	Developing	72.4	138	25	0.02	0.000000e+00	97	133	5.4	29	98	5.84	99	0.1	NA	NA	7.5	7.8	0.704	11.8
Iran (Islamic Republic of)	2006	Developing	72.2	139	26	0.02	0.000000e+00	98	220	49.4	30	99	5.95	98	0.1	NA	NA	7.4	7.7	0.692	11.4
Iran (Islamic Republic of)	2005	Developing	72.0	139	27	0.01	0.000000e+00	94	7	48.5	32	95	6.60	95	0.1	NA	NA	7.4	7.7	0.687	11.4
Iran (Islamic Republic of)	2004	Developing	71.8	139	28	0.01	0.000000e+00	95	3	47.6	33	98	5.89	99	0.1	NA	NA	7.4	7.7	0.686	11.8
Iran (Islamic Republic of)	2003	Developing	75.0	154	29	0.01	0.000000e+00	98	11644	46.9	35	99	5.42	99	0.1	NA	NA	7.5	7.7	0.679	11.8
Iran (Islamic Republic of)	2002	Developing	71.2	142	31	0.01	0.000000e+00	99	9554	46.2	37	99	5.39	99	0.1	NA	NA	7.6	7.7	0.674	11.9
Iran (Islamic Republic of)	2001	Developing	78.0	146	33	0.01	0.000000e+00	94	9582	45.5	40	95	5.20	96	0.1	NA	NA	7.7	7.8	0.666	11.6
Iran (Islamic Republic of)	2000	Developing	73.0	15	35	0.01	0.000000e+00	99	11874	44.9	43	99	4.47	99	0.1	NA	NA	7.8	7.9	0.660	11.6
Iraq	2015	Developing	68.9	182	32	NA	0.000000e+00	56	1433	59.1	38	63	NA	58	0.1	4.974269e+03	3.611565e+07	5.3	5.1	0.649	10.1
Iraq	2014	Developing	67.9	199	32	0.01	4.352408e+01	62	1317	58.5	39	67	5.54	64	0.1	6.737474e+02	3.568000e+03	5.3	5.1	0.658	10.1
Iraq	2013	Developing	69.5	17	32	0.01	4.473695e+02	66	669	57.8	39	7	5.92	68	0.1	6.925224e+03	3.388315e+07	5.3	5.1	0.659	10.3
Iraq	2012	Developing	76.0	147	32	0.01	4.296625e+02	61	15	57.2	39	7	5.26	69	0.1	6.651122e+03	3.277657e+07	5.3	5.1	0.656	10.5
Iraq	2011	Developing	77.0	144	32	0.17	2.851197e+02	77	15	56.5	39	8	3.32	79	0.1	5.854614e+03	3.172753e+06	5.3	5.1	0.649	10.4
Iraq	2010	Developing	76.0	145	32	0.19	2.182252e+01	72	492	55.8	39	74	3.82	74	0.1	4.527495e+02	3.762710e+05	5.3	5.1	0.646	10.4
Iraq	2009	Developing	74.0	148	32	0.20	1.856367e+02	75	30328	55.2	39	78	4.65	78	0.1	3.735145e+03	2.989465e+07	5.4	5.1	0.643	10.3
Iraq	2008	Developing	69.3	167	32	0.17	1.921563e+02	66	5494	54.5	38	71	3.93	69	0.1	4.521325e+03	2.911142e+07	5.4	5.1	0.638	10.3
Iraq	2007	Developing	65.9	227	31	0.14	1.467606e+02	56	230	53.8	38	74	3.69	57	0.1	3.129225e+03	2.839433e+06	5.4	5.1	0.636	10.2
Iraq	2006	Developing	64.7	249	31	0.03	7.525800e+01	59	474	53.2	38	63	3.00	59	0.1	2.351812e+03	2.769791e+07	5.4	5.1	0.631	10.2
Iraq	2005	Developing	66.8	29	31	0.18	5.918845e+01	65	908	52.5	37	69	4.13	65	0.1	1.849639e+03	2.784260e+05	5.4	5.2	0.628	10.1
Iraq	2004	Developing	67.2	21	30	0.32	4.412060e+01	62	9081	51.9	37	69	5.61	74	0.1	1.391817e+03	2.631669e+06	5.4	5.2	0.603	9.8
Iraq	2003	Developing	66.5	213	30	0.07	0.000000e+00	63	0	51.3	37	73	4.36	75	0.1	NA	2.562763e+07	5.5	5.2	0.616	9.4
Iraq	2002	Developing	74.0	14	30	0.15	0.000000e+00	65	0	5.6	37	76	NA	77	0.1	NA	2.493930e+07	5.5	5.3	0.614	9.1
Iraq	2001	Developing	72.0	142	30	0.17	0.000000e+00	66	4088	5.1	37	8	NA	78	0.1	NA	2.425165e+07	5.6	5.3	0.607	8.7
Iraq	2000	Developing	70.0	144	30	0.20	0.000000e+00	67	726	49.5	37	83	NA	8	0.1	NA	2.356541e+07	5.6	5.4	0.603	8.6
Ireland	2015	Developed	81.4	64	0	NA	0.000000e+00	95	4	62.8	0	95	NA	95	0.1	6.664144e+03	4.676835e+06	0.3	0.2	0.920	18.6
Ireland	2014	Developed	81.2	66	0	10.75	7.463670e+02	95	33	62.1	0	96	7.78	96	0.1	5.553326e+03	4.617225e+06	0.3	0.2	0.910	18.6
Ireland	2013	Developed	81.0	67	0	10.49	7.035527e+02	95	51	61.3	0	96	8.10	96	0.1	5.234767e+03	4.598294e+06	0.3	0.2	0.902	18.6
Ireland	2012	Developed	85.0	69	0	11.49	6.616695e+03	95	107	6.5	0	95	8.32	95	0.1	4.923136e+04	4.586897e+06	0.3	0.2	0.895	18.5
Ireland	2011	Developed	84.0	7	0	11.72	6.386954e+03	95	285	59.7	0	95	8.15	95	0.1	5.256753e+04	4.576794e+06	0.3	0.2	0.909	18.5
Ireland	2010	Developed	86.0	68	0	11.88	4.509235e+03	46	443	58.9	0	94	8.76	94	0.1	4.853859e+04	4.561550e+05	0.3	0.2	0.907	18.2
Ireland	2009	Developed	79.7	77	0	11.41	7.620823e+03	NA	164	58.2	0	94	9.53	94	0.1	5.198379e+04	4.535375e+06	0.3	0.2	0.909	17.9
Ireland	2008	Developed	79.8	75	0	12.66	9.528231e+03	NA	57	57.4	0	93	8.64	93	0.1	6.123542e+04	4.489544e+06	0.3	0.2	0.908	17.9
Ireland	2007	Developed	79.5	75	0	13.59	9.797553e+03	NA	64	56.6	0	92	7.57	92	0.1	6.138817e+04	4.398942e+06	0.3	0.2	0.902	17.6
Ireland	2006	Developed	79.0	78	0	13.44	9.126931e+03	NA	87	55.8	0	91	7.22	91	0.1	5.432697e+04	4.273591e+06	0.3	0.2	0.896	17.6
Ireland	2005	Developed	78.7	78	0	13.31	9.736813e+02	NA	95	55.1	0	9	7.27	9	0.1	5.886828e+03	4.159914e+06	0.3	0.2	0.889	17.5
Ireland	2004	Developed	78.3	82	0	13.32	8.040220e+03	NA	334	54.4	0	89	7.34	89	0.1	4.763164e+04	4.726200e+04	0.3	0.2	0.880	17.1
Ireland	2003	Developed	78.0	82	0	13.24	6.752135e+02	NA	584	53.6	0	86	7.50	86	0.1	4.117155e+03	3.996521e+06	0.3	0.2	0.870	16.8
Ireland	2002	Developed	77.4	88	0	14.17	5.092384e+03	NA	243	52.9	0	83	6.85	83	0.1	3.253919e+04	3.931947e+06	0.3	0.3	0.862	16.5
Ireland	2001	Developed	77.0	89	0	14.27	4.264579e+03	NA	241	52.2	0	84	6.60	84	0.1	2.822356e+04	3.866243e+06	0.3	0.3	0.857	16.4
Ireland	2000	Developed	76.4	94	0	14.07	3.794581e+03	NA	0	51.5	0	86	6.30	86	0.1	2.624192e+04	3.851740e+05	0.3	0.3	0.848	16.2
Israel	2015	Developing	82.5	58	0	NA	0.000000e+00	96	80	64.9	1	95	NA	95	0.1	3.572937e+04	8.381000e+03	1.2	1.1	0.898	16.0
Israel	2014	Developing	82.2	6	1	2.62	4.348335e+03	97	6	64.6	1	95	7.81	95	0.1	3.758285e+04	8.215700e+04	1.2	1.1	0.895	16.0
Israel	2013	Developing	82.1	61	1	2.69	4.279896e+03	97	50	64.2	1	96	7.89	96	0.1	3.639367e+04	8.595000e+03	1.2	1.1	0.891	15.9
Israel	2012	Developing	81.8	6	1	2.78	3.830185e+03	97	211	63.8	1	94	7.73	94	0.1	3.256960e+04	7.915000e+03	1.2	1.1	0.889	15.9
Israel	2011	Developing	81.8	61	1	2.67	3.793162e+03	98	70	63.4	1	94	7.39	94	0.1	3.365716e+04	7.765800e+04	1.2	1.1	0.883	15.8
Israel	2010	Developing	81.7	61	1	2.63	4.094109e+02	97	23	63.0	1	95	7.36	95	0.1	3.661994e+03	7.623600e+04	1.2	1.1	0.878	15.7
Israel	2009	Developing	81.5	63	1	2.55	5.086645e+02	98	5	62.6	1	96	7.46	96	0.1	2.779588e+04	7.485600e+04	1.2	1.1	0.876	15.6
Israel	2008	Developing	81.0	65	1	2.47	4.715533e+02	99	931	62.1	1	94	7.33	94	0.1	2.965744e+04	7.388000e+03	1.1	1.1	0.877	15.8
Israel	2007	Developing	84.0	68	1	2.33	4.345102e+00	99	539	61.6	1	95	7.37	95	0.1	2.586370e+02	7.181000e+03	1.1	1.1	0.872	15.7
Israel	2006	Developing	84.0	68	1	2.23	3.358621e+01	96	9	61.1	1	94	7.38	95	0.1	2.195177e+03	7.537000e+03	1.1	1.1	0.870	15.7
Israel	2005	Developing	80.0	71	1	2.41	2.509343e+02	96	2	6.6	1	95	7.44	93	0.1	2.611179e+03	6.931000e+03	1.1	1.1	0.866	15.8
Israel	2004	Developing	81.0	69	1	2.23	1.895343e+03	99	116	6.1	1	95	7.35	95	0.1	1.988817e+04	6.890000e+02	1.1	1.1	0.863	15.9
Israel	2003	Developing	79.7	71	1	2.32	1.731756e+03	98	124	59.6	1	93	7.44	93	0.1	1.894700e+04	6.689700e+04	1.1	1.1	0.863	16.0
Israel	2002	Developing	79.3	74	1	2.47	1.701196e+03	98	2	59.2	1	91	7.49	9	0.1	1.843116e+04	6.570000e+02	1.1	1.1	0.855	15.3
Israel	2001	Developing	79.3	74	1	2.53	2.227333e+01	96	19	58.7	1	93	7.61	92	0.1	2.361965e+02	6.439000e+03	1.1	1.1	0.850	15.1
Israel	2000	Developing	78.9	76	1	2.53	1.999341e+02	98	36	58.3	1	93	7.13	93	0.1	2.152143e+03	6.289000e+03	1.1	1.1	0.845	15.2
Italy	2015	Developed	82.7	56	1	NA	0.000000e+00	93	159	63.6	2	93	NA	93	0.1	3.491476e+02	6.735820e+05	0.6	0.6	0.881	16.3
Italy	2014	Developed	82.5	57	2	7.56	4.831645e+03	95	0	63.1	2	95	9.25	95	0.1	3.539667e+04	6.789140e+05	0.6	0.6	0.877	16.3
Italy	2013	Developed	82.3	58	2	7.35	4.831917e+02	96	0	62.6	2	96	9.22	96	0.1	3.537274e+03	6.233948e+06	0.5	0.6	0.876	16.5
Italy	2012	Developed	82.0	6	2	7.49	4.793905e+03	96	376	62.1	2	96	9.28	97	0.1	3.481412e+04	5.953972e+07	0.5	0.6	0.877	16.6
Italy	2011	Developed	82.0	6	2	6.98	5.439692e+03	96	5189	61.5	2	96	9.27	96	0.1	3.833468e+04	5.937945e+07	0.5	0.5	0.872	16.4
Italy	2010	Developed	81.8	6	2	6.95	5.219669e+03	96	372	61.0	2	96	9.42	96	0.1	3.584937e+04	5.927742e+07	0.5	0.5	0.869	16.4
Italy	2009	Developed	81.6	61	2	7.25	5.243317e+03	96	351	6.5	2	96	9.41	96	0.1	3.697685e+04	5.995365e+06	0.5	0.5	0.868	16.3
Italy	2008	Developed	81.5	61	2	7.96	6.637841e+01	96	1617	59.9	2	96	8.89	96	0.1	4.641846e+02	5.882673e+07	0.5	0.5	0.866	16.3
Italy	2007	Developed	81.3	63	2	8.37	5.228822e+03	97	321	59.4	2	97	8.48	97	0.1	3.769879e+04	5.843831e+06	0.5	0.5	0.862	16.1
Italy	2006	Developed	81.2	65	2	8.44	4.731915e+02	96	439	58.8	2	97	8.82	96	0.1	3.341748e+03	5.814398e+07	0.5	0.5	0.856	16.0
Italy	2005	Developed	88.0	66	2	8.65	4.506256e+03	96	135	58.2	2	97	8.71	95	0.1	3.195926e+04	5.796948e+07	0.5	0.5	0.851	15.8
Italy	2004	Developed	89.0	66	2	8.98	4.270915e+03	96	599	57.6	3	97	8.49	94	0.1	3.117456e+04	5.768533e+07	0.5	0.5	0.846	15.6
Italy	2003	Developed	79.9	72	2	9.30	3.519259e+03	95	10982	57.0	3	97	8.17	96	0.1	2.738723e+04	5.731323e+06	0.5	0.5	0.841	15.4
Italy	2002	Developed	80.0	72	2	9.25	2.883335e+03	95	9385	56.4	3	96	8.23	93	0.1	2.219657e+04	5.759700e+04	0.5	0.5	0.836	15.2
Italy	2001	Developed	79.8	75	2	9.69	3.122230e+00	95	0	55.7	3	96	8.11	93	0.1	2.481900e+01	5.697410e+05	0.5	0.5	0.828	14.9
Italy	2000	Developed	79.4	77	3	9.78	3.150582e+01	94	1457	55.0	3	97	7.91	87	0.1	2.512426e+02	5.694218e+06	0.5	0.5	0.823	14.8
Jamaica	2015	Developing	76.2	125	1	NA	0.000000e+00	91	0	54.2	1	91	NA	91	0.5	4.965990e+03	2.871934e+06	1.8	1.7	0.729	12.8
Jamaica	2014	Developing	75.8	133	1	3.83	4.273055e+02	92	0	53.5	1	93	5.36	92	0.5	4.855744e+03	2.862870e+05	1.8	1.7	0.727	12.8
Jamaica	2013	Developing	75.6	136	1	3.79	5.457289e+00	93	0	52.7	1	86	5.91	93	0.6	5.614495e+01	2.851870e+05	1.8	1.7	0.727	12.8
Jamaica	2012	Developing	75.3	138	1	3.65	3.717109e+01	96	0	52.0	1	96	5.66	96	0.5	5.213336e+02	2.849920e+05	1.8	1.7	0.725	12.8
Jamaica	2011	Developing	75.2	139	1	3.58	3.317530e+01	92	1	51.2	1	93	5.21	92	0.6	5.135495e+02	2.829493e+06	1.8	1.7	0.722	12.8
Jamaica	2010	Developing	75.0	138	1	3.55	3.966271e+02	94	0	5.5	1	94	5.30	94	0.5	4.682728e+03	2.817210e+05	1.8	1.7	0.721	12.7
Jamaica	2009	Developing	74.7	142	1	3.33	2.357067e+02	9	0	49.7	1	9	5.16	9	0.6	4.293383e+03	2.848200e+04	1.9	1.7	0.721	12.7
Jamaica	2008	Developing	74.5	145	1	3.51	3.176576e+01	92	2	48.9	1	91	5.40	91	0.4	4.924924e+02	2.791220e+05	1.9	1.7	0.718	12.6
Jamaica	2007	Developing	74.2	148	1	3.64	2.562349e+01	92	0	48.1	1	94	4.87	92	0.9	4.625179e+02	2.775467e+06	1.9	1.7	0.714	12.5
Jamaica	2006	Developing	74.0	15	1	3.63	1.940926e+02	97	0	47.2	1	99	4.22	95	1.5	4.313168e+03	2.762790e+05	1.9	1.7	0.709	12.5
Jamaica	2005	Developing	73.5	161	1	3.59	1.697512e+01	99	0	46.3	1	99	4.70	99	1.9	4.822476e+02	2.744673e+06	1.9	1.7	0.706	12.4
Jamaica	2004	Developing	73.3	165	1	3.67	1.923226e+02	98	0	45.4	1	97	4.80	98	2.3	3.719974e+03	2.728777e+06	1.9	1.8	0.689	11.1
Jamaica	2003	Developing	73.1	166	1	3.48	1.555885e+02	36	0	44.5	1	99	4.56	96	2.3	3.465222e+03	2.712511e+06	1.9	1.8	0.694	11.9
Jamaica	2002	Developing	73.0	167	1	3.76	2.111143e+02	NA	0	43.5	1	99	4.86	99	2.3	3.596496e+03	2.695446e+06	2.0	1.8	0.690	11.7
Jamaica	2001	Developing	72.7	171	1	3.89	1.602382e+02	NA	0	42.5	1	99	5.34	99	2.2	3.394878e+03	2.677110e+05	2.0	1.8	0.680	10.9
Jamaica	2000	Developing	72.6	171	1	3.46	2.482763e+01	NA	0	41.6	1	95	5.81	93	2.2	3.368742e+02	2.656864e+06	2.0	1.9	0.682	11.4
Japan	2015	Developed	83.7	55	2	NA	0.000000e+00	NA	35	29.0	3	99	NA	96	0.1	3.447414e+04	1.271410e+05	2.1	1.8	0.902	15.3
Japan	2014	Developed	83.5	57	2	0.01	8.883362e+01	NA	462	28.6	3	99	1.23	96	0.1	3.896212e+03	1.272760e+05	2.0	1.7	0.899	15.3
Japan	2013	Developed	83.5	56	2	7.55	9.443429e+01	NA	229	28.2	3	99	1.25	96	0.1	4.454447e+03	1.274450e+05	2.0	1.7	0.894	15.3
Japan	2012	Developed	83.3	58	2	7.39	1.215869e+02	NA	228	27.8	3	99	1.17	97	0.1	4.863477e+03	1.276290e+05	1.9	1.7	0.889	15.3
Japan	2011	Developed	82.5	64	3	7.39	9.498729e+03	NA	434	27.4	4	96	1.70	97	0.1	4.816800e+04	1.278330e+05	1.9	1.6	0.884	15.1
Japan	2010	Developed	83.0	62	3	6.90	8.630061e+02	NA	450	26.9	4	98	9.58	97	0.1	4.457676e+03	1.287000e+03	1.9	1.6	0.879	15.1
Japan	2009	Developed	83.0	64	3	7.09	8.991785e+02	NA	741	26.4	4	99	9.51	97	0.1	4.855176e+03	1.284700e+04	1.8	1.6	0.881	15.0
Japan	2008	Developed	82.7	66	3	7.11	7.313175e+03	NA	11015	25.9	4	98	8.60	98	0.1	3.933930e+04	1.286300e+04	1.8	1.5	0.880	15.0
Japan	2007	Developed	82.6	67	3	7.29	6.599995e+03	NA	0	25.4	4	97	8.25	98	0.1	3.527523e+04	1.281000e+03	1.8	1.5	0.877	15.0
Japan	2006	Developed	82.4	68	3	7.49	6.502137e+03	NA	520	24.9	4	95	8.19	98	0.1	3.543399e+04	1.278540e+05	1.7	1.5	0.873	14.9
Japan	2005	Developed	82.0	69	3	7.99	6.799664e+03	NA	0	24.4	4	95	8.18	98	0.1	3.721765e+04	1.277730e+05	1.7	1.5	0.870	14.9
Japan	2004	Developed	82.1	68	3	7.70	6.746281e+03	NA	8752	23.8	4	97	8.30	99	0.1	3.768872e+04	1.277610e+05	1.7	1.4	0.866	14.8
Japan	2003	Developed	81.9	7	3	7.83	5.787254e+02	NA	8286	23.4	5	97	8.00	97	0.1	3.488399e+03	1.277180e+05	1.7	1.4	0.863	14.8
Japan	2002	Developed	81.8	7	3	7.87	5.250249e+03	NA	33812	22.9	5	89	7.85	96	0.1	3.228936e+04	1.274450e+05	1.7	1.4	0.860	14.7
Japan	2001	Developed	81.5	72	4	8.03	5.486512e+03	NA	22552	22.5	5	81	7.75	95	0.1	3.384647e+04	1.271490e+05	1.7	1.4	0.856	14.6
Japan	2000	Developed	81.1	74	4	7.97	5.926297e+03	NA	22497	22.2	5	98	7.53	85	0.1	3.853249e+04	1.268430e+05	1.6	1.4	0.852	14.5
Jordan	2015	Developing	74.1	112	4	NA	0.000000e+00	99	0	65.6	4	99	NA	99	0.1	4.969928e+02	9.159320e+05	4.0	4.0	0.741	13.1
Jordan	2014	Developing	74.0	113	4	0.41	6.387845e+01	98	20	64.8	4	98	7.45	98	0.1	4.669477e+02	8.893600e+04	3.9	3.9	0.737	13.1
Jordan	2013	Developing	73.9	114	4	0.40	5.466235e+02	98	120	64.0	4	98	7.23	98	0.1	3.992867e+03	8.413464e+06	3.9	3.9	0.737	13.1
Jordan	2012	Developing	73.7	115	4	0.41	6.770171e+01	98	3	63.2	4	98	8.00	98	0.1	3.877532e+02	7.992573e+06	3.9	3.9	0.735	12.9
Jordan	2011	Developing	73.6	116	4	0.43	6.886623e+01	98	0	62.4	4	98	8.39	98	0.1	3.873241e+02	7.574943e+06	3.8	3.9	0.737	13.1
Jordan	2010	Developing	73.4	117	4	0.51	7.159709e+02	98	0	61.7	4	98	8.42	98	0.1	3.679193e+03	7.182390e+05	3.8	3.8	0.739	13.2
Jordan	2009	Developing	73.3	118	4	0.59	6.687447e+02	98	0	6.9	4	98	9.54	98	0.1	3.492140e+03	6.821116e+06	3.8	3.8	0.742	13.6
Jordan	2008	Developing	73.1	119	4	0.61	5.352786e+02	97	2	6.1	4	98	8.78	97	0.1	3.385697e+03	6.489822e+06	3.8	3.8	0.739	13.6
Jordan	2007	Developing	73.0	12	4	0.60	3.732629e+02	98	41	59.3	4	98	8.35	98	0.1	2.762864e+03	6.193191e+06	3.8	3.8	0.736	13.6
Jordan	2006	Developing	72.8	121	4	0.59	3.133626e+02	98	1	58.6	4	98	8.80	98	0.1	2.537349e+03	5.934232e+06	3.9	3.8	0.733	13.7
Jordan	2005	Developing	72.4	127	4	0.55	2.744252e+01	95	28	57.8	4	95	8.88	95	0.1	2.238379e+02	5.714111e+06	3.9	3.8	0.730	13.8
Jordan	2004	Developing	72.5	125	4	0.54	3.252524e+01	95	21	57.0	4	95	9.50	95	0.1	2.614569e+02	5.535595e+06	3.9	3.8	0.723	13.5
Jordan	2003	Developing	72.3	127	4	0.54	2.287838e+02	97	76	56.3	4	97	9.15	97	0.1	1.889214e+03	5.396774e+06	3.9	3.9	0.717	13.2
Jordan	2002	Developing	72.1	129	4	0.54	2.591572e+02	95	19	55.5	4	95	9.68	95	0.1	1.812288e+03	5.287488e+06	3.9	3.9	0.712	13.0
Jordan	2001	Developing	71.9	131	4	0.55	2.486975e+02	97	61	54.8	4	97	9.90	99	0.1	1.728266e+03	5.193482e+06	4.0	3.9	0.706	12.7
Jordan	2000	Developing	71.7	133	4	0.49	2.272966e+02	93	32	54.0	4	94	9.65	91	0.1	1.657889e+03	5.131300e+04	4.0	4.0	0.700	12.6
Kazakhstan	2015	Developing	72.0	198	4	NA	0.000000e+00	98	526	53.1	5	98	NA	98	0.1	1.599817e+02	1.754413e+07	2.4	2.5	0.793	15.0
Kazakhstan	2014	Developing	69.9	22	5	6.29	2.444474e+01	95	321	52.3	5	95	4.36	95	0.1	1.286565e+03	1.728922e+07	2.4	2.5	0.789	15.0
Kazakhstan	2013	Developing	69.5	28	5	6.48	2.640727e+01	99	73	51.4	6	98	4.30	98	0.1	1.389856e+03	1.735275e+06	2.4	2.5	0.782	15.0
Kazakhstan	2012	Developing	69.1	214	6	6.82	2.353566e+02	95	55	5.6	7	98	4.32	99	0.1	1.238719e+04	1.679143e+07	2.4	2.5	0.774	14.7
Kazakhstan	2011	Developing	68.5	224	7	6.63	1.791701e+02	99	127	49.9	7	99	4.60	99	0.1	1.163442e+04	1.655660e+05	2.3	2.5	0.766	14.4
Kazakhstan	2010	Developing	67.8	236	7	6.83	1.115163e+01	99	4	49.2	8	98	4.42	99	0.1	9.764997e+01	1.632158e+07	2.3	2.5	0.763	14.5
Kazakhstan	2009	Developing	67.8	235	7	6.64	8.082433e+02	99	0	48.5	8	99	4.13	98	0.1	7.165278e+03	1.692710e+05	2.3	2.5	0.758	14.6
Kazakhstan	2008	Developing	66.6	258	8	7.60	7.083286e+02	99	20	47.9	9	99	3.65	99	0.1	8.513565e+03	1.567400e+04	2.4	2.5	0.758	14.6
Kazakhstan	2007	Developing	65.3	288	8	7.44	4.997304e+02	94	13	47.3	9	94	3.19	93	0.1	6.771415e+03	1.548419e+07	2.4	2.5	0.754	14.7
Kazakhstan	2006	Developing	65.0	295	8	7.08	7.619869e+01	99	109	46.8	9	99	3.73	99	0.1	5.291576e+03	1.538840e+05	2.4	2.5	0.747	14.3
Kazakhstan	2005	Developing	64.6	294	8	6.94	3.518603e+02	94	16118	46.3	9	99	4.70	98	0.1	3.771279e+03	1.514729e+06	2.4	2.5	0.737	13.9
Kazakhstan	2004	Developing	64.7	287	8	6.55	3.391660e+01	99	2204	45.8	9	99	3.95	82	0.1	2.874288e+03	1.512985e+06	2.5	2.6	0.725	13.5
Kazakhstan	2003	Developing	64.4	282	8	6.58	2.343401e+01	99	24	45.3	9	99	3.70	99	0.1	2.681237e+02	1.499180e+05	2.5	2.6	0.714	13.1
Kazakhstan	2002	Developing	64.7	276	8	5.99	1.451023e+02	95	18	44.8	9	95	3.61	95	0.1	1.658311e+03	1.485895e+07	2.6	2.6	0.700	12.7
Kazakhstan	2001	Developing	64.4	284	8	5.75	1.260884e+01	95	94	44.4	10	95	3.47	95	0.1	1.499268e+02	1.485834e+07	2.6	2.7	0.685	12.3
Kazakhstan	2000	Developing	63.9	292	9	6.00	1.125412e+02	99	245	43.9	10	96	4.16	97	0.1	1.229958e+03	1.488363e+07	2.7	2.7	0.676	12.1
Kenya	2015	Developing	63.4	249	54	NA	0.000000e+00	89	95	22.0	75	83	NA	89	2.8	1.349971e+03	4.723626e+07	7.8	7.6	0.550	11.1
Kenya	2014	Developing	62.9	255	56	0.01	1.709627e+02	92	354	21.3	79	93	5.72	92	2.9	1.335646e+03	4.624250e+05	7.8	7.7	0.546	11.1
Kenya	2013	Developing	62.6	258	58	1.84	1.659305e+02	93	190	2.7	81	94	5.57	87	3.0	1.229115e+03	4.482685e+07	7.9	7.7	0.541	11.1
Kenya	2012	Developing	62.1	263	59	1.81	1.542270e+02	94	0	2.1	84	94	5.49	94	3.0	1.155258e+03	4.364663e+07	8.0	7.8	0.536	11.1
Kenya	2011	Developing	61.2	278	60	1.80	1.097052e+02	96	2395	19.5	86	97	5.23	96	3.4	9.874454e+02	4.248684e+07	8.1	7.9	0.530	11.1
Kenya	2010	Developing	63.0	294	61	1.73	5.658984e+01	9	95	18.9	89	9	3.97	9	4.3	9.673477e+02	4.135152e+06	8.2	8.0	0.523	11.1
Kenya	2009	Developing	59.1	317	62	1.86	7.146851e+00	88	1218	18.4	91	89	4.17	88	5.0	9.281625e+01	4.237240e+05	8.2	8.1	0.514	10.7
Kenya	2008	Developing	57.9	339	64	1.71	6.051535e+01	88	1282	17.9	95	88	3.90	88	6.4	9.168993e+02	3.914842e+07	8.3	8.2	0.506	10.4
Kenya	2007	Developing	56.8	356	66	1.97	5.983361e+01	81	1516	17.3	100	76	4.80	81	9.1	8.391811e+02	3.885990e+05	8.4	8.3	0.494	10.1
Kenya	2006	Developing	55.3	388	68	1.76	5.260385e+01	8	1847	16.9	104	77	4.24	8	10.3	6.976639e+02	3.752500e+04	8.5	8.4	0.483	9.7
Kenya	2005	Developing	54.1	412	70	1.82	3.955678e+01	76	153	16.4	108	7	4.36	76	11.6	5.197999e+02	3.648288e+06	8.6	8.5	0.474	9.6
Kenya	2004	Developing	53.0	432	72	1.43	3.629775e+01	73	20	15.9	112	73	4.29	73	13.2	4.588844e+02	3.574931e+06	8.7	8.6	0.461	8.9
Kenya	2003	Developing	52.4	437	74	1.49	3.585205e+01	73	65	15.5	115	75	4.45	73	14.5	4.366875e+02	3.413852e+06	8.8	8.8	0.450	8.2
Kenya	2002	Developing	52.1	437	76	1.66	3.273674e+01	84	766	15.1	118	83	4.54	84	15.7	3.958494e+02	3.321490e+05	8.9	8.9	0.451	8.5
Kenya	2001	Developing	51.9	434	77	1.63	3.847603e+00	NA	11304	14.7	120	77	4.62	8	16.9	4.177636e+01	3.232148e+07	9.0	9.0	0.447	8.4
Kenya	2000	Developing	51.9	428	77	1.51	6.816856e-01	NA	21002	14.4	121	8	4.68	82	18.1	4.397971e+01	3.145483e+06	9.2	9.1	0.448	8.4
Kiribati	2015	Developing	66.3	198	0	NA	0.000000e+00	82	0	77.6	0	8	NA	78	0.1	1.424484e+03	1.124700e+04	0.1	0.1	0.586	11.9
Kiribati	2014	Developing	66.1	2	0	0.01	9.787193e+01	75	0	77.1	0	79	1.21	75	0.1	1.684543e+03	1.145800e+04	0.1	0.1	0.597	11.9
Kiribati	2013	Developing	65.8	22	0	0.01	1.372592e+02	95	0	76.7	0	91	1.15	95	0.1	1.724362e+03	1.853500e+04	0.1	0.1	0.589	11.9
Kiribati	2012	Developing	65.7	24	0	0.01	1.474550e+02	94	0	76.2	0	92	1.37	94	0.1	1.763815e+03	1.661300e+04	0.1	0.1	0.581	11.9
Kiribati	2011	Developing	65.5	26	0	0.53	3.046704e+01	95	0	75.7	0	95	1.42	99	0.1	1.692613e+03	1.465600e+04	0.1	0.1	0.585	11.9
Kiribati	2010	Developing	65.3	27	0	0.48	1.821661e+01	91	0	75.2	0	95	1.52	91	0.1	1.493165e+03	1.265200e+04	0.1	0.1	0.584	11.9
Kiribati	2009	Developing	65.2	28	0	0.54	1.622904e+02	86	0	74.6	0	84	12.24	86	0.1	1.297285e+03	1.568000e+03	0.1	0.1	0.576	11.9
Kiribati	2008	Developing	65.1	21	0	0.46	1.676202e+02	83	0	74.1	0	74	12.23	82	0.1	1.413323e+03	9.844000e+03	0.2	0.1	0.572	11.6
Kiribati	2007	Developing	65.0	211	0	0.68	1.887109e+02	96	0	73.4	0	93	13.66	94	0.1	1.357632e+03	9.631100e+04	0.2	0.1	0.574	11.8
Kiribati	2006	Developing	65.0	212	0	0.76	1.819458e+01	88	0	72.8	0	86	1.93	86	0.1	1.151556e+03	9.426000e+03	0.2	0.1	0.576	12.1
Kiribati	2005	Developing	64.9	213	0	0.60	1.117392e+02	5	0	72.1	0	74	1.60	79	0.1	1.214557e+03	9.232500e+04	0.2	0.2	0.000	12.2
Kiribati	2004	Developing	64.8	214	0	0.48	1.062427e+01	67	0	71.4	0	61	1.39	62	0.1	1.136286e+02	9.542000e+03	0.2	0.2	0.000	12.4
Kiribati	2003	Developing	64.7	215	0	0.50	1.765413e+00	73	0	7.6	0	79	9.98	7	0.1	1.153865e+02	8.889500e+04	0.2	0.2	0.000	11.6
Kiribati	2002	Developing	64.6	217	0	0.49	7.075572e+01	79	0	69.7	0	96	9.10	77	0.1	8.265855e+02	8.734300e+04	0.2	0.2	0.000	11.7
Kiribati	2001	Developing	64.3	219	0	0.60	5.997186e+01	85	0	68.8	0	88	9.00	85	0.1	7.349492e+02	8.585800e+04	0.2	0.2	0.000	10.4
Kiribati	2000	Developing	64.1	222	0	0.46	1.107543e+01	9	0	67.9	0	9	8.12	9	0.1	7.967938e+02	8.446000e+03	0.2	0.2	0.000	10.0
Kuwait	2015	Developing	74.7	81	0	NA	0.000000e+00	99	18	71.4	1	99	NA	99	0.1	2.897542e+04	NA	3.5	3.4	0.799	13.3
Kuwait	2014	Developing	74.6	82	0	0.01	2.480897e+03	96	55	7.8	1	94	3.40	95	0.1	4.299648e+04	NA	3.4	3.4	0.787	13.0
Kuwait	2013	Developing	74.5	83	1	0.01	2.792678e+03	99	62	7.2	1	99	2.56	99	0.1	4.839996e+04	NA	3.4	3.3	0.796	13.1
Kuwait	2012	Developing	74.3	84	1	0.01	2.957974e+03	98	27	69.5	1	98	2.57	98	0.1	5.126471e+04	NA	3.4	3.3	0.794	13.2
Kuwait	2011	Developing	74.2	85	1	0.02	2.785098e+03	99	32	69.0	1	99	2.62	99	0.1	4.826859e+04	NA	3.3	3.2	0.792	13.4
Kuwait	2010	Developing	74.0	86	1	0.01	2.009576e+03	99	13	68.4	1	98	2.76	98	0.1	3.849762e+04	NA	3.3	3.2	0.790	13.5
Kuwait	2009	Developing	73.9	87	1	0.10	3.001628e+03	99	0	67.9	1	99	3.87	99	0.1	3.756731e+04	NA	3.3	3.2	0.788	13.6
Kuwait	2008	Developing	73.8	88	1	0.03	2.078393e+03	99	0	67.5	1	99	1.93	99	0.1	5.557200e+04	NA	3.3	3.1	0.787	13.8
Kuwait	2007	Developing	73.7	89	1	0.03	2.555304e+03	99	0	67.1	1	99	2.13	99	0.1	4.579398e+04	NA	3.2	3.1	0.787	13.9
Kuwait	2006	Developing	73.6	89	1	0.01	2.443444e+03	99	0	66.7	1	99	2.25	99	0.1	4.271756e+04	NA	3.2	3.1	0.787	14.1
Kuwait	2005	Developing	73.6	9	0	0.01	2.395751e+02	99	10	66.3	1	99	2.38	99	0.1	3.549261e+03	NA	3.2	3.1	0.789	14.2
Kuwait	2004	Developing	73.5	91	0	0.02	1.731074e+03	94	23	65.9	1	98	2.76	98	0.1	2.692183e+04	NA	3.2	3.0	0.791	14.4
Kuwait	2003	Developing	73.4	93	0	0.03	1.590099e+02	99	0	65.5	1	99	3.23	99	0.1	2.271570e+03	NA	3.2	3.0	0.788	14.1
Kuwait	2002	Developing	73.3	94	0	0.01	1.209681e+03	99	0	65.0	1	99	3.56	99	0.1	1.778942e+04	NA	3.2	3.0	0.785	13.9
Kuwait	2001	Developing	73.2	95	0	0.01	1.131998e+02	99	0	64.5	1	99	3.61	99	0.1	1.654968e+03	NA	3.2	3.0	0.786	14.0
Kuwait	2000	Developing	73.2	96	0	0.01	9.599259e+02	95	6	64.0	1	94	2.51	98	0.1	1.838938e+04	NA	3.2	3.1	0.786	14.1
Kyrgyzstan	2015	Developing	71.1	166	3	NA	0.000000e+00	97	17779	44.9	3	97	NA	97	0.1	NA	NA	3.3	3.4	0.662	13.0
Kyrgyzstan	2014	Developing	78.0	17	3	0.01	0.000000e+00	96	318	43.9	4	95	6.48	96	0.1	NA	NA	3.3	3.4	0.656	12.8
Kyrgyzstan	2013	Developing	77.0	174	3	0.01	0.000000e+00	97	1	43.0	4	97	6.68	97	0.1	NA	NA	3.3	3.3	0.647	12.5
Kyrgyzstan	2012	Developing	69.9	18	3	0.01	0.000000e+00	96	0	42.2	4	94	6.97	96	0.1	NA	NA	3.2	3.3	0.638	12.3
Kyrgyzstan	2011	Developing	69.4	188	4	3.28	0.000000e+00	96	222	41.4	4	94	6.18	96	0.2	NA	NA	3.2	3.3	0.632	12.1
Kyrgyzstan	2010	Developing	68.8	199	4	2.73	0.000000e+00	96	0	4.7	4	88	6.66	96	0.1	NA	NA	3.2	3.3	0.631	12.2
Kyrgyzstan	2009	Developing	68.5	21	4	2.39	0.000000e+00	96	1	4.1	4	96	6.79	95	0.1	NA	NA	3.3	3.4	0.629	12.4
Kyrgyzstan	2008	Developing	67.6	217	4	2.53	0.000000e+00	97	16	39.5	4	95	6.70	95	0.2	NA	NA	3.3	3.4	0.624	12.6
Kyrgyzstan	2007	Developing	67.2	229	4	2.77	0.000000e+00	94	40	39.0	4	94	6.87	94	0.1	NA	NA	3.3	3.4	0.618	12.6
Kyrgyzstan	2006	Developing	66.7	234	4	2.48	0.000000e+00	9	27	38.5	4	93	6.73	92	0.1	NA	NA	3.3	3.4	0.613	12.5
Kyrgyzstan	2005	Developing	66.9	224	4	2.81	0.000000e+00	97	53	38.0	4	98	5.82	98	0.1	NA	NA	3.4	3.4	0.612	12.4
Kyrgyzstan	2004	Developing	67.1	218	4	3.41	0.000000e+00	99	8	37.5	4	98	5.57	99	0.1	NA	NA	3.4	3.4	0.609	12.5
Kyrgyzstan	2003	Developing	66.6	217	4	3.52	0.000000e+00	99	6	37.0	4	98	5.43	98	0.1	NA	NA	3.5	3.5	0.602	12.2
Kyrgyzstan	2002	Developing	66.7	215	4	3.31	0.000000e+00	99	2	36.5	5	99	5.43	98	0.1	NA	NA	3.5	3.5	0.601	12.1
Kyrgyzstan	2001	Developing	67.2	217	4	2.62	0.000000e+00	57	17	36.0	5	99	4.79	99	0.1	NA	NA	3.6	3.6	0.593	11.8
Kyrgyzstan	2000	Developing	66.6	225	4	2.13	0.000000e+00	44	16	35.6	5	99	4.68	99	0.1	NA	NA	3.6	3.6	0.586	11.4
Lao People’s Democratic Republic	2015	Developing	65.7	194	8	NA	0.000000e+00	89	56	21.7	11	89	NA	89	0.2	NA	NA	8.8	8.9	0.582	10.8
Lao People’s Democratic Republic	2014	Developing	65.3	199	8	0.01	0.000000e+00	88	339	2.9	11	88	1.87	88	0.2	NA	NA	8.9	9.0	0.573	10.6
Lao People’s Democratic Republic	2013	Developing	64.9	23	9	0.01	0.000000e+00	87	71	2.1	12	86	2.00	87	0.3	NA	NA	9.0	9.1	0.563	10.4
Lao People’s Democratic Republic	2012	Developing	64.4	28	9	0.01	0.000000e+00	79	32	19.4	12	78	2.12	79	0.3	NA	NA	9.1	9.2	0.554	10.2
Lao People’s Democratic Republic	2011	Developing	64.0	213	9	5.39	0.000000e+00	78	113	18.7	13	79	2.20	78	0.3	NA	NA	9.2	9.4	0.542	9.9
Lao People’s Democratic Republic	2010	Developing	63.6	218	10	5.95	0.000000e+00	74	153	18.0	13	76	2.75	74	0.3	NA	NA	9.3	9.5	0.535	9.6
Lao People’s Democratic Republic	2009	Developing	63.1	223	10	5.18	0.000000e+00	67	78	17.3	14	67	3.77	67	0.2	NA	NA	9.4	9.6	0.525	9.4
Lao People’s Democratic Republic	2008	Developing	62.6	228	10	5.10	0.000000e+00	61	174	16.7	14	6	2.77	61	0.2	NA	NA	9.6	9.7	0.518	9.2
Lao People’s Democratic Republic	2007	Developing	62.1	234	11	5.00	0.000000e+00	5	1678	16.1	15	46	4.14	5	0.2	NA	NA	9.7	9.8	0.509	9.0
Lao People’s Democratic Republic	2006	Developing	61.5	24	11	3.69	0.000000e+00	57	58	15.5	15	56	4.14	57	0.2	NA	NA	9.9	9.9	0.503	9.0
Lao People’s Democratic Republic	2005	Developing	61.0	246	11	3.68	0.000000e+00	49	295	14.9	16	5	4.32	49	0.2	NA	NA	1.0	1.1	0.494	8.7
Lao People’s Democratic Republic	2004	Developing	64.0	252	12	3.53	0.000000e+00	45	1491	14.4	16	46	4.54	45	0.2	NA	NA	1.1	1.2	0.485	8.6
Lao People’s Democratic Republic	2003	Developing	59.8	259	12	3.41	0.000000e+00	5	1810	13.8	17	52	4.91	49	0.1	NA	NA	1.2	1.3	0.477	8.3
Lao People’s Democratic Republic	2002	Developing	59.3	265	13	3.33	0.000000e+00	NA	2070	13.3	18	55	4.40	53	0.1	NA	NA	1.3	1.4	0.468	8.0
Lao People’s Democratic Republic	2001	Developing	58.7	271	13	3.13	0.000000e+00	NA	94	12.7	19	55	4.32	52	0.1	NA	NA	1.4	1.5	0.463	8.0
Lao People’s Democratic Republic	2000	Developing	58.1	278	14	5.16	0.000000e+00	NA	332	12.3	20	57	3.41	51	0.1	NA	NA	1.5	1.5	0.459	8.0
Latvia	2015	Developed	74.6	153	0	NA	0.000000e+00	94	0	61.2	0	95	NA	95	0.1	1.366658e+04	1.977527e+06	2.2	2.1	0.828	16.0
Latvia	2014	Developed	74.4	156	0	0.01	1.542636e+03	92	36	6.7	0	92	5.88	92	0.1	1.572514e+04	1.993782e+06	2.2	2.2	0.822	16.0
Latvia	2013	Developed	74.1	161	0	10.37	1.503117e+02	94	0	6.2	0	94	5.67	94	0.1	1.532229e+03	2.126470e+05	2.2	2.2	0.814	15.4
Latvia	2012	Developed	73.8	163	0	10.21	1.356022e+03	9	3	59.8	0	91	5.91	91	0.1	1.382286e+04	2.343190e+05	2.2	2.2	0.812	15.5
Latvia	2011	Developed	73.6	169	0	10.14	2.470841e+01	89	1	59.4	0	92	6.10	92	0.1	1.372689e+03	2.597900e+04	2.2	2.3	0.810	15.8
Latvia	2010	Developed	72.8	18	0	9.80	1.109970e+03	91	0	58.9	0	92	6.55	92	0.1	1.132622e+04	2.975550e+05	2.2	2.3	0.815	16.0
Latvia	2009	Developed	72.6	184	0	9.85	1.137624e+03	92	0	58.5	0	94	6.84	94	0.1	1.221937e+04	2.141669e+06	2.3	2.3	0.821	16.4
Latvia	2008	Developed	71.9	199	0	11.84	2.534022e+02	93	3	58.1	0	94	6.63	94	0.1	1.634853e+04	2.177322e+06	2.3	2.4	0.819	16.3
Latvia	2007	Developed	78.0	221	0	12.12	1.709884e+02	91	0	57.7	0	94	7.10	94	0.1	1.444159e+03	2.232500e+04	2.4	2.4	0.814	16.2
Latvia	2006	Developed	75.0	229	0	10.40	1.099249e+03	94	7	57.4	0	96	6.80	96	0.1	9.667976e+03	2.218357e+06	2.4	2.5	0.807	16.2
Latvia	2005	Developed	76.0	216	0	9.92	8.692554e+01	99	2	57.0	0	99	6.37	99	0.1	7.558743e+03	2.238799e+06	2.5	2.5	0.791	15.9
Latvia	2004	Developed	71.0	26	0	8.81	8.003284e+01	98	0	56.6	0	99	6.51	99	0.1	6.351813e+03	2.263122e+06	2.5	2.6	0.776	15.5
Latvia	2003	Developed	78.0	29	0	8.24	4.780645e+02	98	0	56.3	0	98	6.15	98	0.1	5.134957e+03	2.287955e+06	2.6	2.6	0.761	15.2
Latvia	2002	Developed	73.0	219	0	7.44	3.764570e+02	98	0	56.0	0	98	6.29	97	0.1	4.132349e+03	2.311730e+05	2.7	2.7	0.746	14.8
Latvia	2001	Developed	69.9	228	0	6.68	3.322752e+02	96	1	55.7	0	97	6.17	97	0.1	3.572851e+03	2.337170e+05	2.8	2.8	0.728	14.2
Latvia	2000	Developed	71.0	218	0	7.13	2.910171e+02	95	0	55.4	0	96	6.00	96	0.1	3.352731e+03	2.367550e+05	2.8	2.8	0.716	13.7
Lebanon	2015	Developing	74.9	98	1	NA	0.000000e+00	81	39	66.1	1	75	NA	81	0.1	8.466329e+02	5.851479e+06	4.9	4.9	0.763	13.3
Lebanon	2014	Developing	74.8	99	1	1.32	1.403771e+02	81	112	65.4	1	75	6.39	81	0.1	8.161461e+03	5.632790e+05	4.8	4.9	0.763	13.3
Lebanon	2013	Developing	74.9	97	1	1.29	1.455610e+01	81	1761	64.9	1	75	6.63	81	0.1	8.462852e+02	5.276120e+05	4.8	4.8	0.766	13.3
Lebanon	2012	Developing	75.0	93	1	1.53	1.511527e+02	81	9	64.4	1	75	6.99	81	0.1	8.787947e+03	4.916440e+05	4.8	4.8	0.763	13.3
Lebanon	2011	Developing	75.0	93	1	1.57	8.350627e+02	81	9	64.0	1	75	7.12	81	0.1	8.734965e+03	4.588368e+06	4.7	4.7	0.758	13.2
Lebanon	2010	Developing	74.9	94	1	1.58	8.053956e+02	81	12	63.5	1	75	7.19	81	0.1	8.763826e+03	4.337141e+06	4.7	4.7	0.752	13.3
Lebanon	2009	Developing	74.7	95	1	1.62	8.140374e+00	81	22	63.0	1	75	7.42	81	0.1	8.426888e+01	4.183156e+06	4.7	4.7	0.746	13.2
Lebanon	2008	Developing	74.5	98	1	1.67	6.913925e+01	81	24	62.5	1	75	8.70	81	0.1	7.127758e+02	4.111470e+05	4.7	4.7	0.740	13.1
Lebanon	2007	Developing	74.4	98	1	1.72	8.906931e+00	8	373	61.9	1	75	8.90	8	0.1	6.142711e+02	4.864660e+05	4.7	4.6	0.731	12.9
Lebanon	2006	Developing	74.1	1	1	1.82	5.345796e+02	78	956	61.4	1	75	8.83	78	0.1	5.372659e+03	4.573500e+04	4.7	4.6	0.733	13.2
Lebanon	2005	Developing	73.9	11	1	1.94	6.300541e+02	77	618	6.8	1	74	8.42	77	0.1	5.339441e+03	3.986852e+06	4.7	4.6	0.000	13.7
Lebanon	2004	Developing	73.7	13	1	2.10	6.183615e+02	75	213	6.2	1	74	8.91	75	0.1	5.424224e+03	3.863267e+06	4.7	4.6	0.000	14.2
Lebanon	2003	Developing	73.5	15	1	2.19	5.279177e+02	74	526	59.7	1	74	9.30	74	0.1	5.425670e+03	3.714640e+05	4.8	4.7	0.000	14.8
Lebanon	2002	Developing	73.2	17	1	1.98	7.013208e+01	77	36	59.1	1	77	1.50	77	0.1	5.436595e+03	3.522837e+06	4.8	4.7	0.000	15.2
Lebanon	2001	Developing	73.0	11	1	2.19	5.106035e+02	8	8	58.6	1	8	1.90	8	0.1	5.253123e+03	3.359859e+06	4.9	4.7	0.000	15.0
Lebanon	2000	Developing	72.7	112	1	2.26	4.043879e+02	83	5	57.9	1	83	1.86	83	0.1	5.334933e+03	3.235366e+06	4.9	4.8	0.000	14.9
Lesotho	2015	Developing	53.7	484	4	NA	0.000000e+00	93	0	32.6	6	9	NA	93	9.3	1.738289e+02	2.174645e+06	5.5	5.3	0.495	10.7
Lesotho	2014	Developing	52.1	522	4	0.01	1.621278e+02	93	0	32.0	6	9	1.62	93	9.4	1.174839e+03	2.145785e+06	5.8	5.6	0.491	10.8
Lesotho	2013	Developing	52.1	518	4	0.01	1.533443e+02	93	516	31.4	6	9	11.70	93	9.6	1.196133e+03	2.117361e+06	6.1	5.9	0.484	11.1
Lesotho	2012	Developing	52.2	513	4	0.01	1.681349e+02	95	179	3.8	6	93	11.14	95	9.0	1.281516e+03	2.899280e+05	6.4	6.2	0.479	11.0
Lesotho	2011	Developing	52.3	52	4	2.39	1.958253e+02	96	172	3.2	6	95	11.79	96	10.5	1.352384e+03	2.641660e+05	6.8	6.6	0.469	11.0
Lesotho	2010	Developing	51.1	527	4	2.71	1.548706e+02	93	2488	29.7	6	92	1.87	93	13.4	1.173262e+03	2.455100e+04	7.2	7.0	0.464	10.9
Lesotho	2009	Developing	49.4	566	4	2.75	1.043145e+02	91	0	29.2	6	89	9.80	91	18.2	9.231369e+02	2.192900e+04	7.6	7.4	0.453	10.8
Lesotho	2008	Developing	47.8	592	5	2.75	9.185433e+01	88	0	28.8	6	86	8.85	88	27.3	9.344286e+02	1.999930e+05	8.0	7.8	0.447	10.7
Lesotho	2007	Developing	46.2	633	4	2.69	9.184327e+00	9	2	28.3	6	87	8.47	88	30.0	9.184327e+02	1.982287e+06	8.4	8.3	0.440	10.6
Lesotho	2006	Developing	45.3	654	5	2.61	7.115578e+01	91	1	27.9	6	88	7.12	89	34.1	9.157758e+02	1.965662e+06	8.8	8.7	0.437	10.7
Lesotho	2005	Developing	44.5	675	5	2.67	5.790370e+01	87	0	27.4	6	88	6.30	89	34.8	8.629463e+02	1.949543e+06	9.3	9.2	0.437	10.7
Lesotho	2004	Developing	44.8	666	5	1.80	6.791362e+01	6	31	26.9	7	89	6.96	9	34.6	7.815146e+02	1.933728e+06	9.7	9.7	0.439	10.7
Lesotho	2003	Developing	45.5	648	5	1.99	5.300902e+00	17	1	26.4	7	9	7.13	9	33.8	6.363628e+01	1.918970e+05	1.2	1.1	0.440	10.5
Lesotho	2002	Developing	46.4	622	5	2.95	3.534574e+00	NA	0	25.9	7	84	6.91	84	32.5	4.789395e+01	1.923120e+05	1.6	1.6	0.446	10.4
Lesotho	2001	Developing	47.8	586	5	2.86	3.857187e+01	NA	217	25.4	7	78	7.53	78	31.2	4.378192e+02	1.885955e+06	11.1	11.1	0.443	10.3
Lesotho	2000	Developing	49.3	543	5	3.10	2.986616e+01	NA	660	24.9	7	82	6.92	83	29.8	4.748198e+02	1.868699e+06	11.5	11.6	0.445	9.6
Liberia	2015	Developing	61.4	259	8	NA	0.000000e+00	52	1060	27.3	11	52	NA	52	0.9	4.523872e+02	4.499621e+06	6.5	6.4	0.427	9.9
Liberia	2014	Developing	58.1	329	8	0.01	5.437397e+01	5	34	26.7	11	49	1.40	5	0.9	4.584652e+02	4.397370e+05	6.7	6.5	0.426	9.9
Liberia	2013	Developing	61.1	258	9	0.01	4.504892e+01	76	0	26.1	11	75	9.25	76	1.1	4.541222e+02	4.286291e+06	6.8	6.7	0.419	9.8
Liberia	2012	Developing	67.0	261	9	0.01	4.809891e+01	8	43	25.6	12	8	1.19	8	1.2	4.153620e+02	4.181563e+06	7.0	6.9	0.416	9.6
Liberia	2011	Developing	62.0	266	9	3.72	6.044658e+01	77	279	25.0	12	77	11.23	77	1.5	3.796896e+02	4.716700e+04	7.2	7.0	0.406	9.5
Liberia	2010	Developing	59.7	272	9	3.64	4.191052e+01	47	2200	24.5	13	71	11.87	7	1.8	3.274260e+02	3.948125e+06	7.4	7.2	0.403	9.6
Liberia	2009	Developing	59.2	277	10	3.75	5.592170e+00	64	6	24.0	13	84	14.39	81	2.1	3.366749e+01	3.811528e+06	7.6	7.4	0.400	9.7
Liberia	2008	Developing	58.6	281	10	3.88	4.003344e+01	64	1	23.4	14	79	11.83	75	2.4	2.326173e+02	3.662993e+06	7.7	7.6	0.394	9.8
Liberia	2007	Developing	57.9	286	10	4.03	3.686899e+00	NA	1	22.9	14	67	1.24	65	2.8	2.137333e+01	3.512932e+06	7.9	7.8	0.383	9.9
Liberia	2006	Developing	56.7	32	11	4.05	1.579934e+01	NA	20	22.4	15	66	1.90	6	3.0	1.789280e+02	3.375838e+06	8.1	8.1	0.377	10.0
Liberia	2005	Developing	55.3	316	12	4.19	2.239649e+01	NA	8	22.0	16	66	8.40	6	3.1	1.686483e+02	3.261230e+05	8.3	8.3	0.372	10.1
Liberia	2004	Developing	54.0	329	12	4.24	1.785871e+01	NA	4	21.5	17	47	8.77	31	3.2	1.494453e+02	3.176414e+06	8.5	8.5	0.335	10.2
Liberia	2003	Developing	50.0	42	13	4.21	9.758449e+00	NA	142	21.1	18	49	3.44	35	3.2	1.334945e+02	3.116233e+06	8.7	8.7	0.373	10.3
Liberia	2002	Developing	56.0	371	13	4.27	1.042437e+01	NA	131	2.7	19	51	5.43	39	3.1	1.772852e+02	3.628630e+05	8.8	8.9	0.376	10.4
Liberia	2001	Developing	51.5	333	14	4.40	1.672143e+01	NA	1379	2.4	20	54	6.41	42	3.1	1.741815e+02	2.991132e+06	9.0	9.0	0.386	10.5
Liberia	2000	Developing	51.9	39	14	4.46	1.219710e+01	NA	5977	2.2	20	56	5.91	46	3.1	1.834150e+02	2.884522e+06	9.2	9.2	0.338	8.7
Libya	2015	Developing	72.7	138	1	NA	0.000000e+00	97	82	64.8	2	97	NA	97	0.1	NA	NA	5.8	5.5	0.719	13.4
Libya	2014	Developing	72.4	143	2	0.01	0.000000e+00	94	372	63.8	2	94	4.97	94	0.1	NA	NA	5.7	5.5	0.730	13.4
Libya	2013	Developing	72.9	134	2	0.01	0.000000e+00	96	0	62.8	2	96	4.33	96	0.1	NA	NA	5.7	5.5	0.735	13.4
Libya	2012	Developing	72.9	133	2	0.01	0.000000e+00	98	320	61.8	2	98	4.30	98	0.1	NA	NA	5.6	5.4	0.706	13.7
Libya	2011	Developing	71.3	161	2	0.01	3.611567e+01	98	0	6.9	2	98	4.77	98	0.1	5.625494e+02	NA	5.6	5.4	0.756	14.0
Libya	2010	Developing	72.8	132	2	0.01	5.250394e+01	98	0	59.9	2	98	3.50	98	0.1	1.212562e+03	NA	5.6	5.4	0.755	14.3
Libya	2009	Developing	72.7	132	2	0.01	6.355170e+01	98	329	59.0	2	98	3.16	98	0.1	1.296974e+03	NA	5.6	5.4	0.757	14.6
Libya	2008	Developing	72.6	132	2	0.01	5.326700e+02	98	8	58.2	2	98	2.40	98	0.1	1.439649e+04	NA	5.5	5.4	0.757	14.8
Libya	2007	Developing	72.5	132	2	0.01	5.487891e+01	98	59	57.4	3	98	2.63	98	0.1	1.138567e+03	NA	5.5	5.4	0.756	15.1
Libya	2006	Developing	72.2	134	2	0.01	4.934153e+02	98	1	56.7	3	98	2.51	98	0.1	9.344988e+03	NA	5.5	5.4	0.752	15.4
Libya	2005	Developing	71.9	138	2	0.01	4.723047e+02	97	292	56.0	3	98	2.71	98	0.1	8.171362e+03	NA	5.5	5.4	0.748	15.7
Libya	2004	Developing	71.5	141	2	0.01	3.180653e+01	99	2771	55.3	3	97	3.46	97	0.1	5.868364e+02	NA	5.5	5.4	0.747	15.9
Libya	2003	Developing	71.3	144	3	0.01	2.951167e+02	96	0	54.6	3	95	4.60	95	0.1	4.676968e+03	NA	5.6	5.4	0.740	16.0
Libya	2002	Developing	71.1	146	3	0.01	2.913435e+01	91	3890	54.0	3	93	4.57	93	0.1	3.754426e+02	NA	5.6	5.4	0.736	15.8
Libya	2001	Developing	71.0	147	3	0.01	3.623818e+02	93	633	53.4	3	94	4.60	94	0.1	6.269581e+03	NA	5.6	5.5	0.732	15.7
Libya	2000	Developing	78.0	148	3	0.01	4.573202e+02	92	0	52.8	3	94	3.41	94	0.1	7.145628e+03	NA	5.7	5.5	0.727	15.5
Lithuania	2015	Developed	73.6	165	0	NA	0.000000e+00	94	50	62.4	0	93	NA	93	0.1	1.425243e+04	2.949100e+04	2.6	2.6	0.846	16.5
Lithuania	2014	Developed	73.4	169	0	15.19	2.211744e+03	94	11	61.9	0	93	6.55	93	0.1	1.655497e+04	2.932367e+06	2.6	2.7	0.841	16.5
Lithuania	2013	Developed	73.0	178	0	15.04	1.968817e+03	93	35	61.4	0	93	6.59	93	0.1	1.571282e+04	2.957689e+06	2.7	2.7	0.834	16.4
Lithuania	2012	Developed	73.0	176	0	15.14	1.807071e+03	93	0	6.9	0	93	6.67	93	0.1	1.434184e+04	2.987773e+06	2.7	2.7	0.830	16.5
Lithuania	2011	Developed	72.8	18	0	12.66	1.758823e+03	95	7	6.5	0	92	6.86	92	0.1	1.435774e+04	3.281150e+05	2.7	2.8	0.826	16.7
Lithuania	2010	Developed	72.4	188	0	12.90	1.423802e+03	94	2	6.0	0	95	7.90	95	0.1	1.198487e+04	3.972820e+05	2.8	2.8	0.824	16.8
Lithuania	2009	Developed	72.2	192	0	12.40	1.446529e+03	95	0	59.7	0	98	7.53	98	0.1	1.183739e+04	3.162916e+06	2.8	2.9	0.825	16.6
Lithuania	2008	Developed	71.1	224	0	13.30	1.888150e+03	96	1	59.3	0	96	6.61	96	0.1	1.496157e+04	3.198231e+06	2.9	2.9	0.820	16.5
Lithuania	2007	Developed	72.0	24	0	13.40	1.581512e+03	96	0	59.0	0	95	6.22	95	0.1	1.229792e+04	3.231294e+06	2.9	3.0	0.812	16.4
Lithuania	2006	Developed	76.0	229	0	12.70	1.165050e+02	95	1	58.7	0	94	6.20	94	0.1	9.246425e+02	3.269990e+05	3.0	3.0	0.807	16.4
Lithuania	2005	Developed	78.0	222	0	12.30	9.136995e+02	95	1	58.4	0	93	5.83	94	0.1	7.863163e+03	3.322528e+06	3.0	3.1	0.798	16.2
Lithuania	2004	Developed	71.6	24	0	12.10	7.636188e+01	94	1	58.1	0	9	5.67	94	0.1	6.769670e+02	3.377750e+05	3.1	3.1	0.792	16.3
Lithuania	2003	Developed	71.6	22	0	11.29	8.099710e+01	95	1	57.8	0	91	6.46	94	0.1	5.555357e+02	3.415213e+06	3.2	3.2	0.780	15.8
Lithuania	2002	Developed	71.4	22	0	11.00	5.619169e+02	94	103	57.5	0	97	6.40	95	0.1	4.146988e+03	3.443670e+05	3.3	3.3	0.770	15.3
Lithuania	2001	Developed	71.2	21	0	10.20	4.287209e+01	95	7	57.2	0	97	6.26	95	0.1	3.531473e+02	3.478180e+05	3.3	3.3	0.757	14.7
Lithuania	2000	Developed	71.6	2	0	9.87	3.732606e+02	98	19	56.9	0	92	6.46	94	0.1	3.297355e+03	3.499536e+06	3.4	3.4	0.745	14.0
Luxembourg	2015	Developed	82.0	63	0	NA	0.000000e+00	94	0	61.3	0	99	NA	99	0.1	1.199822e+03	5.696400e+04	1.0	0.9	0.896	13.9
Luxembourg	2014	Developed	81.7	65	0	11.12	1.625516e+04	94	0	6.9	0	99	6.94	99	0.1	1.191727e+05	5.563190e+05	1.0	0.9	0.892	13.9
Luxembourg	2013	Developed	81.4	68	0	11.02	1.551575e+04	94	0	6.5	0	99	7.10	99	0.1	1.137519e+05	5.433600e+04	0.9	0.9	0.892	13.9
Luxembourg	2012	Developed	81.1	7	0	11.34	2.284582e+03	94	2	6.1	0	99	7.18	99	0.1	1.674914e+04	5.394600e+04	0.9	0.9	0.892	13.9
Luxembourg	2011	Developed	88.0	72	0	11.50	1.702853e+04	95	6	59.6	0	96	7.34	99	0.1	1.157616e+05	5.183470e+05	0.9	0.9	0.894	13.9
Luxembourg	2010	Developed	86.0	73	0	11.36	2.267252e+03	94	0	59.2	0	96	7.68	99	0.1	1.496536e+04	5.695300e+04	0.9	0.9	0.884	13.7
Luxembourg	2009	Developed	83.0	76	0	11.42	2.052393e+03	95	0	58.8	0	96	8.11	99	0.1	1.319867e+04	4.977830e+05	0.9	0.9	0.888	13.5
Luxembourg	2008	Developed	80.0	8	0	11.53	1.896135e+04	94	1	58.4	0	96	7.34	99	0.1	1.142938e+05	4.886500e+04	0.9	0.9	0.887	13.5
Luxembourg	2007	Developed	79.7	82	0	11.75	2.670513e+02	87	0	57.9	0	96	6.80	99	0.1	1.618493e+03	4.799930e+05	0.9	0.9	0.877	13.5
Luxembourg	2006	Developed	79.4	85	0	11.98	1.534549e+04	95	8	57.5	0	99	7.75	99	0.1	8.973971e+04	4.726370e+05	0.9	0.9	0.880	13.5
Luxembourg	2005	Developed	78.8	9	0	11.84	1.346247e+03	95	0	57.0	0	99	7.95	99	0.1	8.289696e+03	4.651580e+05	1.0	0.9	0.874	13.5
Luxembourg	2004	Developed	78.7	92	0	12.42	1.237205e+04	94	0	56.4	0	99	8.20	99	0.1	7.571635e+04	4.589500e+04	1.0	0.9	0.867	13.5
Luxembourg	2003	Developed	78.6	92	0	12.61	1.011139e+04	95	1	55.8	0	99	7.67	98	0.1	6.544589e+04	4.516300e+04	1.0	0.9	0.865	13.6
Luxembourg	2002	Developed	78.3	95	0	12.91	9.105063e+02	95	0	55.2	0	99	8.27	99	0.1	5.293641e+03	4.461750e+05	1.0	0.9	0.860	13.5
Luxembourg	2001	Developed	78.0	96	0	12.89	7.877337e+03	86	0	54.6	0	99	7.40	99	0.1	4.817943e+04	4.415250e+05	1.0	1.0	0.854	13.4
Luxembourg	2000	Developed	77.8	98	0	13.14	8.246130e+03	77	0	54.0	0	99	7.48	99	0.1	4.873600e+04	4.363000e+03	1.0	1.0	0.848	13.5
Madagascar	2015	Developing	65.5	22	28	NA	0.000000e+00	69	3	2.5	38	71	NA	69	0.3	4.185760e+01	2.423488e+06	7.1	7.1	0.511	10.3
Madagascar	2014	Developing	65.1	225	29	0.01	5.339066e+00	73	3	2.0	39	73	3.40	73	0.3	4.524632e+02	2.358981e+06	7.2	7.1	0.509	10.3
Madagascar	2013	Developing	64.7	23	29	0.87	7.950882e+01	74	6	19.5	40	73	4.15	74	0.4	4.617237e+02	2.296115e+07	7.3	7.2	0.508	10.3
Madagascar	2012	Developing	64.3	235	30	0.87	5.997914e+01	7	2	19.0	42	71	3.46	7	0.4	4.439611e+02	2.234657e+07	7.4	7.3	0.506	10.2
Madagascar	2011	Developing	63.8	241	31	0.97	7.879967e+01	73	0	18.5	43	73	4.24	73	0.4	4.549635e+02	2.174395e+07	7.5	7.4	0.504	10.2
Madagascar	2010	Developing	63.3	248	32	1.03	7.660442e+01	7	1	18.0	45	7	4.86	7	0.5	4.127393e+02	2.115164e+06	7.6	7.5	0.503	10.2
Madagascar	2009	Developing	62.8	254	33	0.91	7.116601e+01	77	0	17.6	47	76	4.70	77	0.5	4.156893e+02	2.569121e+06	7.7	7.6	0.500	9.7
Madagascar	2008	Developing	62.3	259	34	0.68	6.448763e+00	77	3	17.1	49	77	4.50	77	0.5	4.773325e+01	1.999647e+07	7.8	7.7	0.491	9.4
Madagascar	2007	Developing	61.9	261	35	0.71	5.543034e+01	84	0	16.7	51	83	4.98	84	0.6	3.778483e+02	1.943352e+07	7.9	7.8	0.483	9.1
Madagascar	2006	Developing	61.4	263	36	0.68	3.841870e+01	82	2	16.3	54	83	5.11	85	0.6	2.921574e+02	1.888268e+06	8.0	7.9	0.478	9.0
Madagascar	2005	Developing	69.0	265	37	0.72	3.374786e+01	81	0	15.8	56	8	5.30	85	0.6	2.748197e+02	1.833672e+07	8.1	8.0	0.473	8.9
Madagascar	2004	Developing	64.0	267	38	0.81	2.372796e+01	71	35558	15.4	58	74	4.89	78	0.6	2.451236e+02	1.782997e+06	8.2	8.1	0.466	8.7
Madagascar	2003	Developing	59.9	268	40	0.93	3.712895e+01	61	62233	15.0	60	65	4.81	66	0.7	3.167999e+02	1.727914e+07	8.3	8.3	0.457	8.5
Madagascar	2002	Developing	59.3	271	41	0.90	4.752621e+01	51	10795	14.7	63	61	5.29	62	0.7	2.622859e+02	1.676512e+07	8.5	8.4	0.462	8.3
Madagascar	2001	Developing	58.7	276	42	1.05	4.256332e+01	NA	9357	14.3	65	6	5.17	6	0.7	2.785557e+02	1.626932e+06	8.6	8.5	0.456	8.2
Madagascar	2000	Developing	57.9	283	44	1.16	3.566125e+01	NA	35256	13.9	68	58	5.80	57	0.6	2.459397e+02	1.576686e+06	8.7	8.6	0.000	8.0
Malawi	2015	Developing	58.3	365	26	NA	0.000000e+00	88	0	19.6	38	88	NA	88	4.8	3.626575e+02	1.757367e+06	6.4	6.2	0.473	10.8
Malawi	2014	Developing	57.6	377	27	0.01	5.948745e+01	91	3	19.2	40	87	11.38	91	5.1	3.547254e+02	1.768838e+06	6.5	6.3	0.466	10.7
Malawi	2013	Developing	56.7	394	29	0.01	5.583108e+01	89	1	18.8	42	89	1.96	89	6.3	3.329223e+02	1.657715e+07	6.5	6.4	0.459	10.7
Malawi	2012	Developing	55.3	42	31	0.01	8.276866e+01	96	11	18.4	46	95	12.60	96	8.3	3.745188e+02	1.697350e+05	6.6	6.5	0.454	10.7
Malawi	2011	Developing	54.1	441	32	1.23	1.377617e+01	97	26	18.0	50	97	11.67	97	11.2	5.121255e+02	1.562762e+07	6.7	6.6	0.444	10.6
Malawi	2010	Developing	52.9	462	35	1.08	9.728005e+00	93	118712	17.6	54	86	1.50	93	13.7	4.588682e+02	1.516795e+06	6.8	6.7	0.430	10.2
Malawi	2009	Developing	51.5	491	36	1.16	7.915071e+00	93	21	17.3	56	93	1.18	93	14.9	4.273797e+01	1.471462e+06	6.9	6.8	0.415	9.9
Malawi	2008	Developing	50.0	525	36	1.27	7.434483e+01	91	20	16.9	58	92	1.70	91	16.9	3.728427e+02	1.427123e+07	7.0	6.9	0.400	9.6
Malawi	2007	Developing	48.5	559	37	1.18	4.269511e+00	87	143	16.6	59	88	9.31	87	19.3	3.222273e+01	1.384969e+06	7.1	7.0	0.387	9.7
Malawi	2006	Developing	47.1	587	38	1.18	6.847034e+00	99	1	16.2	61	99	8.99	99	21.1	2.976971e+02	1.342926e+07	7.3	7.1	0.377	9.6
Malawi	2005	Developing	46.0	66	39	1.04	5.670640e+00	93	184	15.9	62	94	8.20	93	22.4	2.836738e+01	1.339711e+06	7.4	7.2	0.371	9.7
Malawi	2004	Developing	45.1	615	40	1.11	5.813583e+01	89	1116	15.5	65	94	7.82	89	23.4	2.742256e+02	1.267638e+06	7.5	7.4	0.366	10.0
Malawi	2003	Developing	44.6	613	43	1.08	4.375316e+00	84	167	15.2	70	85	6.35	84	24.2	2.615252e+01	1.233669e+07	7.6	7.5	0.362	10.3
Malawi	2002	Developing	44.0	67	46	1.10	3.885395e+00	64	92	14.8	75	79	4.82	64	24.7	2.997990e+01	1.213711e+06	7.7	7.6	0.388	10.4
Malawi	2001	Developing	43.5	599	48	1.15	1.279761e+01	NA	150	14.4	80	86	5.70	9	25.1	1.467615e+02	1.169586e+07	7.9	7.7	0.387	10.1
Malawi	2000	Developing	43.1	588	51	1.18	1.376270e+01	NA	304	14.1	84	73	6.70	75	25.5	1.532595e+02	1.137617e+07	8.0	7.9	0.391	10.7
Malaysia	2015	Developing	75.0	123	4	NA	0.000000e+00	99	1318	4.6	4	99	NA	99	0.1	9.643645e+03	3.723155e+06	7.5	7.3	0.787	13.1
Malaysia	2014	Developing	74.8	126	4	0.52	7.213655e+02	96	221	39.5	4	97	4.17	97	0.1	1.118396e+04	3.228170e+05	7.6	7.4	0.783	13.0
Malaysia	2013	Developing	74.6	128	3	0.53	1.106780e+02	96	195	38.5	4	97	4.20	97	0.1	1.882278e+03	2.976724e+06	7.8	7.6	0.779	12.9
Malaysia	2012	Developing	74.5	129	3	0.53	1.016092e+02	97	1868	37.4	4	97	4.10	97	0.1	1.779496e+03	2.917456e+06	7.9	7.7	0.776	12.9
Malaysia	2011	Developing	74.3	13	3	0.51	9.230026e+00	96	1569	36.3	4	96	3.89	96	0.1	1.451262e+02	2.863513e+07	8.0	7.8	0.774	13.0
Malaysia	2010	Developing	74.1	131	3	0.49	6.556660e+01	96	73	35.3	4	96	3.99	96	0.1	9.713570e+02	2.811229e+07	8.2	8.0	0.764	12.8
Malaysia	2009	Developing	74.0	131	3	0.47	4.315452e+02	96	153	34.4	4	97	3.97	97	0.1	7.326744e+03	2.765383e+06	8.3	8.2	0.756	12.6
Malaysia	2008	Developing	73.8	132	3	0.47	4.384519e+02	97	334	33.4	4	97	3.47	97	0.1	8.513630e+03	2.711169e+06	8.5	8.3	0.747	12.5
Malaysia	2007	Developing	73.7	133	3	0.43	4.099813e+02	96	394	32.5	4	97	3.61	97	0.1	7.269171e+03	2.662585e+07	8.7	8.5	0.736	12.3
Malaysia	2006	Developing	73.6	134	3	0.42	3.659114e+02	95	564	31.6	4	95	3.65	95	0.1	6.222983e+03	2.614357e+07	8.8	8.6	0.732	12.7
Malaysia	2005	Developing	73.4	135	3	0.46	2.975914e+02	96	1407	3.7	4	96	3.29	96	0.1	5.593823e+03	2.565939e+07	9.0	8.8	0.734	12.9
Malaysia	2004	Developing	73.2	137	3	0.49	3.156639e+02	94	5729	29.8	4	95	3.74	95	0.1	4.955478e+03	2.517419e+06	9.2	8.9	0.731	12.7
Malaysia	2003	Developing	73.1	138	3	0.48	2.642496e+02	95	632	28.8	4	96	3.95	96	0.1	4.463676e+03	2.468873e+06	9.3	9.1	0.724	12.1
Malaysia	2002	Developing	72.9	14	4	0.49	2.167029e+02	95	408	27.9	4	94	3.40	94	0.1	4.167364e+03	2.419881e+07	9.5	9.3	0.723	12.0
Malaysia	2001	Developing	72.7	144	4	0.53	2.102417e+02	95	2198	27.0	5	95	3.40	96	0.1	3.915115e+03	2.369897e+06	9.7	9.4	0.725	11.9
Malaysia	2000	Developing	72.4	149	4	0.54	2.337167e+01	97	6187	26.0	5	98	3.40	98	0.1	4.451747e+02	2.318568e+06	9.8	9.6	0.715	11.6
Maldives	2015	Developing	78.5	61	0	NA	0.000000e+00	99	0	27.4	0	99	NA	99	0.1	8.395785e+03	4.916300e+04	13.6	13.6	0.701	12.7
Maldives	2014	Developing	78.2	62	0	0.01	2.051749e+03	99	0	26.2	0	99	13.73	99	0.1	7.716242e+03	4.100000e+01	13.6	13.7	0.693	12.7
Maldives	2013	Developing	77.9	64	0	0.01	1.626591e+03	99	0	25.1	0	99	11.16	99	0.1	7.112336e+03	3.930000e+02	13.7	13.8	0.683	12.4
Maldives	2012	Developing	77.6	65	0	0.01	1.259940e+03	99	0	24.1	0	99	9.16	99	0.1	6.541747e+03	3.850000e+02	13.8	13.9	0.675	12.1
Maldives	2011	Developing	77.3	67	0	1.92	1.079894e+03	96	0	23.1	0	96	8.11	96	0.1	6.497554e+03	3.770000e+02	13.9	14.0	0.663	11.8
Maldives	2010	Developing	76.7	73	0	1.83	9.113972e+01	97	0	22.1	0	97	7.93	96	0.1	6.337950e+02	3.670000e+02	14.0	14.1	0.653	11.6
Maldives	2009	Developing	76.3	75	0	1.59	1.005030e+02	98	6	21.2	0	98	9.22	98	0.1	5.971659e+02	3.600000e+01	14.1	14.2	0.651	11.8
Maldives	2008	Developing	75.9	81	0	1.76	1.077712e+03	98	0	2.3	0	98	9.30	98	0.1	5.828621e+03	3.620000e+02	14.2	14.3	0.641	11.8
Maldives	2007	Developing	75.4	82	0	1.78	6.491489e+00	98	20	19.5	0	98	6.64	98	0.1	5.286228e+01	3.490000e+02	14.3	14.4	0.632	11.9
Maldives	2006	Developing	75.0	88	0	1.62	6.598499e+02	98	47	18.7	0	98	7.37	98	0.1	4.428523e+03	3.330000e+02	14.3	14.5	0.622	12.0
Maldives	2005	Developing	74.3	93	0	1.47	6.209519e+02	98	1395	18.0	0	98	9.52	98	0.1	3.488494e+03	3.210000e+02	14.4	14.5	0.625	12.1
Maldives	2004	Developing	73.4	16	0	1.60	6.119094e+02	97	37	17.3	0	96	5.89	96	0.1	3.853333e+03	3.120000e+02	14.5	14.6	0.617	12.2
Maldives	2003	Developing	72.7	112	0	1.75	4.914979e+02	98	75	16.7	0	98	5.90	98	0.1	3.432248e+03	3.400000e+01	14.6	14.7	0.601	11.8
Maldives	2002	Developing	71.8	124	0	1.95	4.299053e+00	98	926	16.2	0	98	5.78	98	0.1	3.237239e+01	2.970000e+02	14.6	14.7	0.597	12.0
Maldives	2001	Developing	78.0	129	0	1.98	4.130689e+01	98	0	15.6	0	97	5.84	98	0.1	2.986760e+02	2.920000e+02	14.7	14.8	0.587	11.8
Maldives	2000	Developing	69.6	139	0	1.83	3.001621e+02	96	20	15.2	0	98	8.00	98	0.1	2.182997e+03	2.860000e+02	14.8	14.8	0.577	11.3
Mali	2015	Developing	58.2	266	52	NA	0.000000e+00	64	215	23.8	84	66	NA	64	1.5	7.297253e+02	1.746795e+06	7.7	7.5	0.438	8.4
Mali	2014	Developing	57.8	272	52	0.01	4.656232e+01	73	290	23.2	85	74	6.86	73	1.6	8.255730e+02	1.696285e+07	7.9	7.7	0.430	8.2
Mali	2013	Developing	57.3	275	53	0.01	3.686104e+01	69	221	22.5	86	7	6.58	69	1.6	7.776591e+02	1.647782e+07	8.1	7.9	0.421	8.0
Mali	2012	Developing	57.2	27	53	0.01	9.654658e+01	66	341	21.9	88	72	6.47	66	1.5	7.773477e+02	1.666700e+04	8.3	8.1	0.411	7.7
Mali	2011	Developing	56.8	271	54	0.61	1.018114e+02	66	24	21.3	90	72	6.59	66	1.5	8.358900e+02	1.554989e+06	8.5	8.3	0.404	7.5
Mali	2010	Developing	56.5	273	54	0.60	9.585584e+00	72	1719	2.7	91	77	6.35	73	1.5	7.837763e+01	1.575850e+05	8.8	8.5	0.396	7.3
Mali	2009	Developing	56.0	276	55	0.59	8.463439e+01	71	2939	2.2	93	77	6.85	73	1.6	6.971531e+02	1.466597e+06	9.0	8.8	0.385	7.1
Mali	2008	Developing	55.5	278	55	0.57	1.021414e+02	74	98	19.6	94	74	6.74	74	1.6	6.896784e+02	1.413822e+07	9.2	9.0	0.360	5.8
Mali	2007	Developing	55.0	282	56	0.55	8.184050e+01	74	2	19.0	96	76	6.97	74	1.7	5.956368e+02	1.367566e+06	9.4	9.3	0.363	6.4
Mali	2006	Developing	54.3	288	57	0.53	6.770921e+01	9	128	18.5	98	79	6.56	78	1.8	5.216426e+02	1.322764e+06	9.7	9.5	0.350	6.1
Mali	2005	Developing	53.6	29	57	0.55	6.021211e+01	83	33	18.0	101	78	6.34	77	1.9	4.879426e+02	1.279876e+07	9.9	9.7	0.338	5.8
Mali	2004	Developing	52.8	296	58	0.49	5.711645e+01	73	172	17.5	103	7	6.28	69	2.0	4.393573e+02	1.239196e+06	1.1	1.0	0.333	5.5
Mali	2003	Developing	52.0	299	59	0.54	6.660452e+00	79	232	17.0	106	67	6.25	63	2.2	3.917913e+02	1.251280e+05	1.3	1.2	0.318	5.2
Mali	2002	Developing	51.2	31	60	0.53	3.676466e+00	NA	717	16.5	108	65	6.32	61	2.3	3.342242e+02	1.163893e+07	1.5	1.5	0.308	4.9
Mali	2001	Developing	55.0	34	60	0.51	4.395886e+00	NA	4464	16.1	110	56	6.39	49	2.4	3.684732e+01	1.129326e+07	1.8	1.7	0.297	4.6
Mali	2000	Developing	49.8	37	60	0.47	2.394507e+01	NA	1578	15.6	111	53	6.29	43	2.5	2.693484e+02	1.967690e+05	11.0	1.9	0.291	4.4
Malta	2015	Developed	81.7	54	0	NA	0.000000e+00	95	2	69.6	0	97	NA	97	0.1	2.381946e+04	4.318740e+05	0.8	0.8	0.853	14.6
Malta	2014	Developed	81.4	55	0	8.49	4.096000e+02	9	0	69.2	0	99	9.75	99	0.1	2.618926e+03	4.273640e+05	0.8	0.8	0.847	14.3
Malta	2013	Developed	81.1	57	0	8.58	3.742947e+02	94	0	68.8	0	99	9.89	99	0.1	2.393189e+03	4.233740e+05	0.8	0.7	0.828	14.2
Malta	2012	Developed	81.0	58	0	7.67	3.431234e+02	93	0	68.4	0	99	9.95	99	0.1	2.193884e+03	4.194550e+05	0.8	0.7	0.821	14.1
Malta	2011	Developed	87.0	59	0	6.91	3.601287e+03	82	3	68.0	0	96	9.60	96	0.1	2.282185e+04	4.162680e+05	0.8	0.7	0.826	14.8
Malta	2010	Developed	83.0	62	0	7.91	2.780687e+02	75	0	67.6	0	76	8.30	76	0.1	2.187795e+03	4.145800e+04	0.8	0.7	0.819	14.6
Malta	2009	Developed	82.0	63	0	7.38	3.355181e+02	86	1	67.1	0	73	8.33	73	0.1	2.675583e+03	4.124770e+05	0.8	0.7	0.815	14.4
Malta	2008	Developed	80.0	64	0	7.14	2.655574e+03	86	1	66.6	0	72	8.15	72	0.1	2.192877e+04	4.937900e+04	0.7	0.7	0.813	14.6
Malta	2007	Developed	79.6	65	0	7.45	2.578888e+03	82	2	66.1	0	76	8.36	74	0.1	1.937557e+04	4.672400e+04	0.7	0.7	0.808	14.4
Malta	2006	Developed	79.3	66	0	8.84	2.380700e+03	86	1	65.6	0	83	8.93	85	0.1	1.667157e+04	4.538000e+03	0.7	0.7	0.809	14.8
Malta	2005	Developed	79.0	67	0	6.41	2.247036e+03	85	6	65.0	0	94	8.83	92	0.1	1.583535e+04	4.383400e+04	0.7	0.7	0.805	14.8
Malta	2004	Developed	78.7	69	0	6.53	2.033157e+02	85	4	64.5	0	89	8.46	89	0.1	1.519550e+03	4.126800e+04	0.7	0.7	0.797	14.2
Malta	2003	Developed	78.5	71	0	6.70	1.678393e+03	89	4	63.9	0	94	8.60	94	0.1	1.368999e+04	3.985820e+05	0.7	0.7	0.790	13.8
Malta	2002	Developed	78.2	75	0	5.73	1.552740e+03	NA	7	63.4	0	95	7.86	95	0.1	1.184394e+04	3.959690e+05	0.7	0.7	0.786	13.8
Malta	2001	Developed	77.8	79	0	5.62	1.300150e+02	NA	2	62.8	0	95	7.11	95	0.1	1.121786e+03	3.932800e+04	0.7	0.7	0.783	13.7
Malta	2000	Developed	77.5	8	0	5.59	1.343547e+02	NA	2	62.3	0	94	6.83	94	0.1	1.139565e+03	3.987000e+03	0.8	0.7	0.779	13.8
Marshall Islands	2013	Developing	NA	NA	0	0.01	8.718783e+02	8	0	81.6	0	79	17.24	79	0.1	3.617752e+03	NA	0.1	0.1	NA	0.0
Mauritania	2015	Developing	63.1	25	8	NA	0.000000e+00	73	1	3.8	12	67	NA	73	0.9	1.158256e+03	4.182341e+06	7.8	7.5	0.513	8.5
Mauritania	2014	Developing	63.0	26	8	0.01	8.092680e+01	84	14	3.1	12	84	3.77	84	0.9	1.326669e+03	4.639200e+04	8.0	7.7	0.509	8.5
Mauritania	2013	Developing	62.7	28	8	0.01	8.880281e+00	8	62	29.4	12	8	3.63	8	1.1	1.455784e+02	3.946170e+05	8.1	7.9	0.501	8.2
Mauritania	2012	Developing	62.5	29	8	0.01	6.248420e+01	8	35	28.8	12	8	3.36	8	1.2	1.364284e+03	3.832390e+05	8.3	8.1	0.491	7.8
Mauritania	2011	Developing	62.2	212	8	0.01	7.927658e+01	75	234	28.1	12	73	2.87	75	1.2	1.393262e+03	3.717672e+06	8.5	8.3	0.487	7.7
Mauritania	2010	Developing	62.0	214	8	0.01	8.353075e+00	64	1292	27.4	12	52	3.28	64	1.2	1.233837e+02	3.695430e+05	8.7	8.5	0.484	7.6
Mauritania	2009	Developing	61.7	215	8	0.01	1.114504e+01	64	322	26.8	12	63	3.79	64	1.2	1.468385e+02	3.562880e+05	8.9	8.7	0.476	7.1
Mauritania	2008	Developing	61.4	217	8	0.02	6.176264e+01	74	4	26.1	12	73	3.23	74	1.3	1.167536e+03	3.475410e+05	9.2	8.9	0.475	7.2
Mauritania	2007	Developing	61.2	219	8	0.02	7.354001e+00	74	11	25.5	12	75	3.54	75	1.3	1.133128e+02	3.312665e+06	9.4	9.1	0.475	7.4
Mauritania	2006	Developing	69.0	221	8	0.01	5.579837e+01	68	22	24.8	12	68	3.21	68	1.3	9.441349e+02	3.226530e+05	9.6	9.4	0.466	7.2
Mauritania	2005	Developing	66.0	223	8	0.01	5.512187e+01	42	127	24.2	12	71	4.21	71	1.3	6.977452e+02	3.137200e+04	9.8	9.6	0.461	7.2
Mauritania	2004	Developing	64.0	224	8	0.01	5.003783e+00	NA	5039	23.6	12	68	4.70	7	1.3	6.254729e+01	3.428230e+05	1.0	9.8	0.451	6.7
Mauritania	2003	Developing	63.0	226	8	0.01	2.965371e+01	NA	3611	22.9	12	75	4.53	76	1.3	5.285866e+02	2.957117e+06	1.3	1.1	0.447	6.6
Mauritania	2002	Developing	62.0	228	7	0.02	4.113191e+00	NA	883	22.3	12	91	5.31	89	1.2	4.695423e+01	2.873228e+06	1.5	1.3	0.446	6.5
Mauritania	2001	Developing	61.0	229	7	0.01	2.878224e+01	NA	1398	21.7	12	75	4.34	75	1.2	4.642298e+02	2.797290e+05	1.7	1.5	0.444	6.5
Mauritania	2000	Developing	60.0	23	7	0.03	8.594570e+00	NA	0	21.1	11	58	5.26	51	1.1	4.774761e+02	2.793590e+05	1.9	1.7	0.443	6.4
Mauritius	2015	Developing	74.6	146	0	NA	0.000000e+00	97	0	33.3	0	98	NA	97	0.1	9.252117e+03	1.262650e+05	6.9	6.8	0.779	15.2
Mauritius	2014	Developing	74.2	148	0	0.01	1.152784e+02	97	0	32.8	0	98	4.81	97	0.1	1.153938e+03	1.269340e+05	7.0	6.9	0.769	14.7
Mauritius	2013	Developing	74.1	147	0	0.01	9.174676e+02	98	0	32.3	0	98	4.82	98	0.1	9.637265e+03	1.258653e+06	7.0	7.0	0.765	14.7
Mauritius	2012	Developing	73.9	154	0	0.01	9.151859e+02	98	0	31.8	0	98	4.76	98	0.1	9.291228e+03	1.255882e+06	7.1	7.0	0.756	14.3
Mauritius	2011	Developing	73.6	158	0	3.03	9.188072e+02	98	2	31.3	0	98	5.20	98	0.1	9.197270e+03	1.252440e+05	7.1	7.1	0.748	14.1
Mauritius	2010	Developing	73.3	163	0	2.95	1.080560e-01	99	12	3.7	0	99	5.29	99	0.2	8.376432e+00	1.254000e+03	7.2	7.2	0.740	14.0
Mauritius	2009	Developing	72.8	166	0	2.83	6.242362e+02	99	15	3.2	0	99	4.97	99	0.1	7.318126e+03	1.247429e+06	7.3	7.3	0.734	13.8
Mauritius	2008	Developing	72.7	166	0	2.49	6.648982e+00	99	12	29.7	0	99	4.60	99	0.1	8.363500e+01	1.244121e+06	7.4	7.3	0.728	13.6
Mauritius	2007	Developing	72.9	161	0	3.24	5.825144e+02	97	13	29.1	0	96	4.24	97	0.1	6.574654e+03	1.239630e+05	7.5	7.4	0.720	13.5
Mauritius	2006	Developing	71.8	165	0	3.73	5.023845e+02	97	3	28.6	0	98	4.38	97	0.1	5.695969e+03	1.233996e+06	7.6	7.5	0.713	13.4
Mauritius	2005	Developing	72.1	168	0	3.94	4.799234e+02	97	7	28.0	0	97	4.47	97	0.1	5.116454e+03	1.228254e+06	7.7	7.6	0.704	13.0
Mauritius	2004	Developing	71.9	168	0	4.16	5.093900e+02	98	28	27.5	0	98	4.29	98	0.1	5.229877e+03	1.221300e+04	7.8	7.7	0.696	12.8
Mauritius	2003	Developing	71.5	174	0	4.08	4.077793e+02	97	777	26.9	0	99	4.15	99	0.1	4.623348e+03	1.213370e+05	7.9	7.8	0.687	12.6
Mauritius	2002	Developing	71.5	179	0	4.14	3.696317e+02	88	0	26.4	0	88	4.24	88	0.1	3.957513e+03	1.246210e+05	7.9	7.9	0.683	12.5
Mauritius	2001	Developing	71.5	177	0	4.38	7.015537e+01	92	0	25.8	0	93	3.87	92	0.1	3.792182e+03	1.196287e+06	8.0	8.0	0.673	12.2
Mauritius	2000	Developing	71.0	177	0	4.60	3.363213e+02	88	0	25.3	0	88	3.78	88	0.1	3.861324e+03	1.186873e+06	8.1	8.1	0.667	12.1
Mexico	2015	Developing	76.7	122	30	NA	0.000000e+00	82	0	63.5	35	87	NA	87	0.1	9.143128e+03	1.258995e+07	1.5	1.5	0.758	13.3
Mexico	2014	Developing	76.6	122	31	5.26	1.681738e+02	84	3	62.8	36	87	6.30	87	0.1	1.452278e+03	1.242216e+06	1.6	1.5	0.754	13.1
Mexico	2013	Developing	76.6	12	32	5.23	1.504089e+02	82	0	62.1	37	83	6.30	83	0.1	1.298868e+03	1.225360e+08	1.6	1.5	0.753	12.9
Mexico	2012	Developing	76.3	123	33	5.29	1.126965e+02	99	0	61.5	38	99	6.21	99	0.1	9.825326e+02	1.282837e+06	1.6	1.5	0.748	12.7
Mexico	2011	Developing	76.1	124	34	5.30	1.117196e+03	98	3	6.8	39	97	6.40	97	0.1	9.834473e+03	1.199170e+05	1.6	1.6	0.745	12.6
Mexico	2010	Developing	75.6	127	35	5.21	1.033040e+03	93	0	6.1	40	95	6.39	95	0.1	8.959581e+03	1.173189e+08	1.6	1.6	0.739	12.5
Mexico	2009	Developing	75.7	13	36	5.27	8.817364e+02	95	0	59.4	42	95	6.60	95	0.1	7.748123e+03	1.155523e+07	1.7	1.6	0.738	12.5
Mexico	2008	Developing	75.6	127	37	5.36	1.598772e+02	97	0	58.7	43	96	6.60	96	0.1	9.689529e+03	1.136619e+07	1.7	1.6	0.735	12.3
Mexico	2007	Developing	76.0	123	38	5.35	1.057476e+02	98	0	57.9	45	98	5.92	98	0.1	9.333417e+02	1.118363e+08	1.7	1.7	0.731	12.3
Mexico	2006	Developing	75.8	125	40	5.11	9.802537e+02	98	23	57.2	47	98	5.83	98	0.1	8.767923e+03	1.192378e+06	1.8	1.7	0.723	12.2
Mexico	2005	Developing	75.3	126	42	4.93	9.983498e+02	98	6	56.4	49	98	6.40	98	0.1	7.986798e+03	1.847223e+07	1.8	1.7	0.719	12.2
Mexico	2004	Developing	75.4	124	44	4.90	9.208284e+02	98	64	55.7	52	98	6.11	98	0.1	7.199597e+03	1.699558e+07	1.8	1.8	0.714	12.1
Mexico	2003	Developing	75.0	127	46	4.88	7.812063e+02	98	44	54.9	55	98	6.20	98	0.1	6.751999e+03	1.564453e+06	1.9	1.8	0.708	11.9
Mexico	2002	Developing	75.0	127	49	4.77	1.218597e+01	97	0	54.1	58	98	5.52	97	0.1	7.168219e+02	1.435568e+06	1.9	1.8	0.703	11.6
Mexico	2001	Developing	75.0	126	52	4.86	1.331110e+01	97	3	53.2	62	97	5.35	97	0.1	7.313789e+02	1.367680e+05	1.9	1.9	0.700	11.6
Mexico	2000	Developing	74.8	129	55	4.99	1.022840e+01	97	30	52.4	66	97	4.98	97	0.1	6.729211e+02	1.171967e+07	2.0	1.9	0.694	11.4
Micronesia (Federated States of)	2015	Developing	69.4	166	0	NA	0.000000e+00	78	0	69.4	0	71	NA	72	0.1	NA	NA	0.2	0.2	0.637	11.7
Micronesia (Federated States of)	2014	Developing	69.4	164	0	1.58	0.000000e+00	81	140	68.7	0	76	13.71	77	0.1	NA	NA	0.2	0.2	0.639	11.7
Micronesia (Federated States of)	2013	Developing	69.2	166	0	1.67	0.000000e+00	83	0	68.1	0	81	13.38	81	0.1	NA	NA	0.2	0.2	0.641	11.7
Micronesia (Federated States of)	2012	Developing	69.0	168	0	2.98	0.000000e+00	82	0	67.5	0	81	12.77	81	0.1	NA	NA	0.2	0.2	0.640	11.7
Micronesia (Federated States of)	2011	Developing	68.9	169	0	1.89	0.000000e+00	83	0	67.0	0	83	13.76	84	0.1	NA	NA	0.2	0.2	0.638	11.7
Micronesia (Federated States of)	2010	Developing	68.7	171	0	1.76	0.000000e+00	88	0	66.4	0	85	13.83	85	0.1	NA	NA	0.2	0.2	0.633	11.5
Micronesia (Federated States of)	2009	Developing	68.5	172	0	2.06	0.000000e+00	89	0	65.8	0	81	13.44	91	0.1	NA	NA	0.2	0.2	0.629	11.4
Micronesia (Federated States of)	2008	Developing	68.4	174	0	1.97	0.000000e+00	89	0	65.2	0	88	12.94	85	0.1	NA	NA	0.2	0.2	0.628	11.2
Micronesia (Federated States of)	2007	Developing	68.2	175	0	1.64	0.000000e+00	9	0	64.7	0	79	11.99	79	0.1	NA	NA	0.2	0.2	0.625	11.0
Micronesia (Federated States of)	2006	Developing	68.0	176	0	1.73	0.000000e+00	84	0	64.1	0	81	11.92	67	0.1	NA	NA	0.2	0.2	0.622	10.9
Micronesia (Federated States of)	2005	Developing	67.9	178	0	1.90	0.000000e+00	91	0	63.6	0	94	12.11	94	0.1	NA	NA	0.2	0.2	0.617	10.7
Micronesia (Federated States of)	2004	Developing	67.7	179	0	2.02	0.000000e+00	8	0	63.2	0	82	1.64	78	0.1	NA	NA	0.2	0.2	0.616	10.5
Micronesia (Federated States of)	2003	Developing	67.5	18	0	3.15	0.000000e+00	89	0	62.8	0	88	9.69	92	0.1	NA	NA	0.2	0.2	0.612	10.4
Micronesia (Federated States of)	2002	Developing	66.2	21	0	2.78	0.000000e+00	85	0	62.4	0	84	8.20	84	0.1	NA	NA	0.2	0.2	0.608	10.2
Micronesia (Federated States of)	2001	Developing	67.2	183	0	2.82	0.000000e+00	81	0	62.0	0	79	8.58	75	0.1	NA	NA	0.3	0.2	0.604	10.1
Micronesia (Federated States of)	2000	Developing	67.0	185	0	2.23	0.000000e+00	87	0	61.5	0	85	7.88	85	0.1	NA	NA	0.3	0.3	0.000	0.0
Monaco	2013	Developing	NA	NA	0	0.01	0.000000e+00	99	0	NA	0	99	4.30	99	0.1	NA	NA	NA	NA	NA	NA
Mongolia	2015	Developing	68.8	222	1	NA	0.000000e+00	99	20359	52.7	1	99	NA	99	0.1	3.944184e+03	2.976877e+06	2.2	2.3	0.733	14.8
Mongolia	2014	Developing	68.4	225	1	0.01	2.810024e+02	99	0	51.5	1	99	4.73	99	0.1	4.181583e+03	2.923896e+06	2.2	2.3	0.729	14.8
Mongolia	2013	Developing	68.1	227	1	0.01	2.411959e+02	98	0	5.4	1	98	4.21	98	0.1	4.385379e+03	2.869170e+05	2.2	2.3	0.720	14.7
Mongolia	2012	Developing	67.8	231	1	0.01	2.538286e+02	99	0	49.2	2	99	4.22	99	0.1	4.368822e+03	2.814226e+06	2.2	2.3	0.712	14.7
Mongolia	2011	Developing	67.3	235	1	0.01	2.578403e+02	99	0	48.0	2	99	4.45	99	0.1	3.769595e+03	2.761516e+06	2.2	2.3	0.701	14.6
Mongolia	2010	Developing	66.3	25	1	5.80	2.231624e+01	96	7	46.9	2	96	4.70	96	0.1	2.653537e+02	2.712650e+05	2.2	2.3	0.693	14.3
Mongolia	2009	Developing	66.9	235	1	4.61	1.341679e+02	97	8	45.9	2	96	5.29	95	0.1	1.717899e+03	2.668289e+06	2.2	2.3	0.686	13.8
Mongolia	2008	Developing	67.4	225	2	4.26	1.810123e+02	96	31	44.9	2	95	5.58	96	0.1	2.139626e+03	2.628131e+06	2.2	2.3	0.673	13.4
Mongolia	2007	Developing	65.9	26	2	3.79	1.266981e+02	98	12	43.9	2	99	5.60	95	0.1	1.634814e+03	2.591670e+05	2.2	2.4	0.661	13.0
Mongolia	2006	Developing	65.0	271	2	2.91	1.221206e+02	98	26	43.0	2	98	4.68	99	0.1	1.334652e+03	2.558120e+05	2.2	2.4	0.649	12.7
Mongolia	2005	Developing	64.5	274	2	2.75	9.868368e+01	98	0	42.1	2	99	5.90	99	0.1	9.988227e+02	2.526446e+06	2.3	2.4	0.637	11.8
Mongolia	2004	Developing	64.0	284	2	1.75	7.324150e+01	98	0	41.3	2	99	5.99	99	0.1	7.978377e+02	2.496832e+06	2.3	2.4	0.621	11.2
Mongolia	2003	Developing	64.0	271	2	1.31	5.605686e+01	98	18	4.5	2	98	6.18	98	0.1	6.465613e+02	2.469286e+06	2.4	2.5	0.609	10.5
Mongolia	2002	Developing	63.8	263	2	2.43	5.560878e+01	98	1205	39.8	2	98	5.81	98	0.1	5.715188e+02	2.443659e+06	2.4	2.5	0.599	10.1
Mongolia	2001	Developing	63.2	266	2	2.87	6.184922e+01	95	10677	39.1	3	95	5.45	95	0.1	5.241459e+02	2.419776e+06	2.5	2.6	0.588	9.4
Mongolia	2000	Developing	62.8	274	2	2.79	5.643139e+01	93	925	38.5	3	94	4.92	94	0.1	4.742133e+02	2.397436e+06	2.6	2.6	0.582	8.9
Montenegro	2015	Developing	76.1	16	0	NA	0.000000e+00	82	0	61.8	0	89	NA	89	0.1	6.461193e+03	6.221590e+05	1.8	1.8	0.804	15.1
Montenegro	2014	Developing	75.9	17	0	0.01	7.260292e+02	87	0	61.3	0	91	6.42	91	0.1	7.378345e+03	6.218100e+04	1.8	1.9	0.803	15.1
Montenegro	2013	Developing	75.8	19	0	0.01	7.071447e+02	9	0	6.7	0	94	6.43	94	0.1	7.186430e+03	6.212700e+04	1.8	1.9	0.799	15.1
Montenegro	2012	Developing	75.6	11	0	0.01	6.481332e+02	9	0	6.2	0	94	7.25	94	0.1	6.586719e+03	6.261000e+03	1.9	1.9	0.797	15.1
Montenegro	2011	Developing	75.4	113	0	6.56	6.667374e+02	91	5	59.7	0	95	6.92	95	0.1	7.318742e+03	6.279000e+03	1.9	2.0	0.792	15.1
Montenegro	2010	Developing	75.3	115	0	6.56	6.354849e+02	9	5	59.1	0	93	6.90	94	0.1	6.682281e+03	6.194280e+05	2.0	2.0	0.787	15.0
Montenegro	2009	Developing	75.0	117	0	6.45	4.896819e+02	87	0	58.5	0	91	6.70	92	0.1	6.698794e+03	6.182940e+05	2.0	2.1	0.785	14.6
Montenegro	2008	Developing	74.6	121	0	6.17	7.091311e+02	93	0	57.8	0	95	6.13	95	0.1	7.325735e+03	6.169690e+05	2.1	2.1	0.774	14.2
Montenegro	2007	Developing	74.2	125	0	4.98	6.785189e+02	9	0	57.2	0	92	6.74	92	0.1	5.957146e+03	6.158750e+05	2.1	2.2	0.762	13.6
Montenegro	2006	Developing	73.8	13	0	5.38	5.957307e+02	9	0	56.5	0	9	8.10	9	0.1	4.383596e+03	6.152500e+04	2.2	2.2	0.751	13.2
Montenegro	2005	Developing	73.6	133	0	NA	5.273077e+02	NA	0	55.7	0	NA	8.46	NA	0.1	3.674618e+03	6.142610e+05	2.3	2.3	0.746	12.8
Montenegro	2004	Developing	73.5	134	0	0.01	5.712190e+01	NA	0	55.0	0	NA	8.45	NA	0.1	3.381995e+02	6.133530e+05	2.3	2.4	0.740	12.6
Montenegro	2003	Developing	73.5	134	0	0.01	4.950783e+02	NA	0	54.2	0	NA	8.91	NA	0.1	2.789173e+03	6.122670e+05	2.4	2.4	0.000	0.0
Montenegro	2002	Developing	73.4	136	0	0.01	3.648024e+01	NA	0	53.5	0	NA	8.33	NA	0.1	2.162433e+02	6.982800e+04	2.5	2.5	0.000	0.0
Montenegro	2001	Developing	73.3	136	0	0.01	3.366981e+01	NA	0	52.7	0	NA	8.23	NA	0.1	1.995840e+02	6.738900e+04	2.5	2.6	0.000	0.0
Montenegro	2000	Developing	73.0	144	0	0.01	2.745473e+02	NA	0	51.9	0	NA	7.32	NA	0.1	1.627429e+03	6.495000e+03	2.6	2.7	0.000	0.0
Morocco	2015	Developing	74.3	95	17	NA	0.000000e+00	99	17	58.5	20	99	NA	99	0.1	2.847286e+03	3.483322e+06	6.4	6.2	0.645	12.1
Morocco	2014	Developing	74.1	96	18	0.43	1.987343e+02	99	10	57.5	21	99	5.91	99	0.1	3.154513e+03	3.431882e+06	6.4	6.2	0.640	12.1
Morocco	2013	Developing	73.9	97	18	0.45	1.798599e+02	99	92	56.5	21	99	5.94	99	0.1	3.111763e+03	3.382477e+07	6.4	6.2	0.634	12.1
Morocco	2012	Developing	73.6	99	19	0.55	1.915854e+01	99	668	55.5	22	99	6.15	99	0.1	2.947467e+02	3.333379e+07	6.3	6.2	0.623	11.6
Morocco	2011	Developing	73.3	14	19	0.54	2.209455e+01	98	982	54.6	22	98	5.99	99	0.1	3.399162e+02	3.285882e+07	6.3	6.2	0.612	11.2
Morocco	2010	Developing	72.8	11	20	0.56	1.836592e+02	98	633	53.6	23	99	5.86	99	0.1	2.834247e+03	3.249639e+06	6.3	6.2	0.603	10.7
Morocco	2009	Developing	72.3	116	20	0.62	1.882903e+02	98	834	52.7	23	99	5.67	99	0.1	2.861555e+03	3.198990e+07	6.4	6.2	0.596	10.5
Morocco	2008	Developing	71.8	123	21	0.51	1.713659e+02	97	1455	51.7	24	99	5.41	99	0.1	2.884948e+03	3.159686e+07	6.4	6.3	0.589	10.3
Morocco	2007	Developing	71.4	128	21	0.56	1.576431e+02	95	2248	5.8	25	95	5.48	95	0.1	2.494354e+03	3.122588e+07	6.4	6.3	0.581	10.0
Morocco	2006	Developing	71.0	133	22	0.58	1.277632e+02	95	1217	49.9	25	97	5.23	97	0.1	2.191479e+03	3.869346e+06	6.4	6.3	0.575	10.0
Morocco	2005	Developing	77.0	137	22	0.47	9.469371e+00	96	0	49.1	26	98	5.60	98	0.1	2.137556e+02	3.521700e+04	6.5	6.3	0.569	9.8
Morocco	2004	Developing	72.0	142	23	0.56	1.003638e+02	95	6399	48.2	27	97	5.22	97	0.1	1.948812e+03	3.179285e+06	6.5	6.4	0.561	9.6
Morocco	2003	Developing	69.9	146	24	0.58	8.816506e+01	9	10841	47.3	28	91	5.25	91	0.1	1.721974e+03	2.984394e+07	6.6	6.4	0.551	9.3
Morocco	2002	Developing	69.5	15	25	0.46	6.672934e+01	92	6000	46.5	29	94	5.31	94	0.1	1.413757e+03	2.951237e+07	6.6	6.5	0.540	8.8
Morocco	2001	Developing	69.0	155	26	0.46	7.111645e+01	84	2724	45.7	30	93	4.44	96	0.1	1.336775e+03	2.918183e+07	6.7	6.5	0.530	8.5
Morocco	2000	Developing	68.6	16	27	0.45	6.342140e+01	43	7368	44.8	32	95	4.18	95	0.1	1.332382e+03	2.884962e+07	6.7	6.6	0.519	8.0
Mozambique	2015	Developing	57.6	355	60	NA	0.000000e+00	8	79	22.6	81	8	NA	8	3.9	5.283126e+02	2.816910e+05	3.6	3.5	0.414	9.1
Mozambique	2014	Developing	56.7	375	61	0.01	5.491159e+01	79	9	22.2	84	79	6.98	79	4.1	6.232871e+02	2.721238e+07	3.6	3.5	0.409	9.1
Mozambique	2013	Developing	55.3	46	62	1.16	5.813339e+00	78	8	21.8	87	78	5.90	78	5.1	6.598568e+01	2.643437e+07	3.6	3.5	0.405	9.1
Mozambique	2012	Developing	54.8	48	64	1.19	4.990987e+01	76	145	21.3	90	73	5.58	76	6.9	5.665139e+02	2.567666e+06	3.6	3.5	0.400	9.2
Mozambique	2011	Developing	54.3	47	66	0.94	4.080618e+01	76	177	2.9	94	73	6.23	76	9.6	5.265314e+02	2.493950e+05	3.7	3.6	0.397	9.5
Mozambique	2010	Developing	54.0	47	69	0.96	5.743394e+00	74	2321	2.5	98	73	5.38	74	10.8	4.192258e+02	2.422145e+06	3.7	3.6	0.390	9.3
Mozambique	2009	Developing	53.8	4	70	1.18	3.975217e+01	74	60	2.1	101	74	5.43	74	11.3	4.638526e+02	2.352463e+06	3.7	3.6	0.382	9.2
Mozambique	2008	Developing	53.2	45	72	1.48	7.969158e-01	75	4	19.7	104	74	4.91	75	12.6	5.312772e+01	2.284676e+07	3.7	3.7	0.372	8.8
Mozambique	2007	Developing	52.1	425	74	1.03	5.395028e+01	75	267	19.3	108	75	5.25	75	14.1	4.221462e+02	2.218839e+07	3.8	3.7	0.360	8.2
Mozambique	2006	Developing	51.2	434	78	1.20	5.859644e+01	75	183	18.9	113	73	6.51	78	16.3	3.857567e+02	2.154746e+07	3.8	3.7	0.353	7.9
Mozambique	2005	Developing	58.0	434	80	1.23	6.733379e+01	75	12598	18.5	117	71	6.87	8	16.2	3.691545e+02	2.923700e+04	3.9	3.8	0.341	7.3
Mozambique	2004	Developing	54.0	429	82	1.54	4.658196e+01	76	9396	18.1	120	69	5.91	83	15.9	3.363318e+02	2.312750e+05	3.9	3.8	0.332	7.0
Mozambique	2003	Developing	51.0	424	85	1.68	4.252690e+01	76	28898	17.7	124	67	6.39	85	15.3	2.838912e+02	1.971660e+07	4.0	3.9	0.318	6.7
Mozambique	2002	Developing	49.8	416	87	2.16	4.082597e+01	76	7155	17.3	127	76	6.45	76	14.5	2.628846e+02	1.913966e+07	4.0	4.0	0.311	6.2
Mozambique	2001	Developing	49.5	48	90	2.09	3.782512e+01	25	7085	16.9	132	72	5.64	73	13.4	2.564415e+02	1.858876e+07	4.1	4.0	0.298	5.8
Mozambique	2000	Developing	49.0	43	93	1.14	4.717251e+01	NA	7375	16.5	136	69	6.16	7	12.2	2.776487e+02	1.867687e+06	4.2	4.1	0.291	5.4
Myanmar	2015	Developing	66.6	199	39	NA	0.000000e+00	89	6	23.8	50	89	NA	89	0.3	1.194591e+03	5.243669e+06	12.8	13.0	0.552	9.1
Myanmar	2014	Developing	66.4	21	40	0.01	4.533789e+01	88	122	22.9	52	88	2.28	88	0.3	1.262894e+03	5.192418e+07	12.9	13.1	0.547	9.1
Myanmar	2013	Developing	66.2	22	42	0.70	3.833793e+01	75	1010	22.1	55	76	2.16	75	0.4	1.168839e+03	5.144820e+07	12.9	13.2	0.540	9.1
Myanmar	2012	Developing	65.9	25	44	0.55	3.842791e+01	58	2175	21.3	58	87	2.22	84	0.5	1.171583e+03	5.986514e+06	13.0	13.2	0.533	9.1
Myanmar	2011	Developing	65.6	27	47	0.33	2.123699e+01	4	2046	2.5	61	9	1.87	84	0.5	1.186424e+03	5.553310e+05	13.0	13.3	0.526	9.1
Myanmar	2010	Developing	65.4	29	49	0.30	1.748294e+01	92	190	19.8	65	9	1.92	9	0.5	9.877366e+02	5.155896e+06	13.1	13.3	0.515	8.8
Myanmar	2009	Developing	65.2	211	52	0.28	1.105248e+01	91	329	19.1	69	9	2.50	9	0.6	7.417771e+02	4.986900e+04	13.1	13.4	0.504	8.5
Myanmar	2008	Developing	59.2	296	59	0.30	9.530480e+00	85	333	18.3	96	85	1.87	85	0.6	6.439514e+02	4.947975e+07	13.2	13.4	0.493	8.2
Myanmar	2007	Developing	64.5	217	58	0.26	5.305728e-01	85	1088	17.6	78	84	1.68	86	0.6	4.145100e+01	4.917159e+07	13.2	13.5	0.484	8.1
Myanmar	2006	Developing	64.2	22	61	0.28	4.632776e+00	75	760	17.0	83	82	1.78	82	0.6	2.969728e+02	4.884647e+07	13.2	13.5	0.474	8.0
Myanmar	2005	Developing	63.9	224	64	0.28	2.793843e+00	62	314	16.4	87	86	1.83	73	0.5	2.472428e+02	4.848261e+07	13.2	13.6	0.465	7.9
Myanmar	2004	Developing	63.5	228	66	0.44	4.154516e+00	39	1329	15.7	90	92	1.97	82	0.5	2.198157e+02	4.873770e+05	13.3	13.6	0.455	7.8
Myanmar	2003	Developing	63.2	231	69	0.40	3.824212e+00	8	830	15.2	93	86	1.97	78	0.5	2.197823e+02	4.762489e+07	13.3	13.6	0.445	7.7
Myanmar	2002	Developing	62.8	235	71	0.41	3.421881e+00	NA	736	14.6	96	84	2.50	79	0.4	1.437765e+02	4.714220e+05	13.3	13.7	0.435	7.6
Myanmar	2001	Developing	62.5	239	72	0.38	1.917164e+00	NA	2519	14.1	98	77	1.80	73	0.4	1.389249e+02	4.662799e+07	13.3	13.7	0.427	7.6
Myanmar	2000	Developing	62.1	243	73	0.35	2.511437e+00	NA	845	13.6	100	88	1.84	82	0.4	1.931875e+02	4.695462e+06	13.3	13.7	0.417	7.5
Namibia	2015	Developing	65.8	248	2	NA	0.000000e+00	92	212	35.7	3	92	NA	92	2.1	4.737670e+03	2.425561e+06	8.2	8.1	0.637	11.7
Namibia	2014	Developing	65.9	242	2	0.01	7.513983e+02	88	477	34.9	3	88	8.93	88	2.2	5.421344e+03	2.379920e+05	8.6	8.5	0.632	11.7
Namibia	2013	Developing	66.1	232	3	0.01	7.606551e+02	89	1028	34.1	3	89	8.53	89	2.5	5.488132e+03	2.316520e+05	9.0	8.9	0.625	11.6
Namibia	2012	Developing	65.8	232	3	0.01	7.968734e+02	84	86	33.3	4	84	8.24	84	3.7	5.749448e+03	2.263934e+06	9.5	9.4	0.619	11.5
Namibia	2011	Developing	64.3	268	3	7.84	7.896235e+00	82	79	32.5	4	85	8.78	82	4.7	5.697139e+01	2.215621e+06	9.9	9.9	0.612	11.5
Namibia	2010	Developing	63.0	299	3	7.58	7.195535e+02	83	3138	31.8	4	83	7.89	83	6.2	5.191584e+03	2.173170e+05	1.4	1.4	0.604	11.4
Namibia	2009	Developing	62.4	36	3	7.99	5.756748e+02	NA	4076	31.0	4	83	8.50	83	8.7	4.153498e+03	2.137400e+04	1.9	1.9	0.598	11.4
Namibia	2008	Developing	61.7	317	3	6.28	5.955034e+01	NA	0	3.2	4	83	7.15	83	11.7	4.296561e+02	2.163750e+05	11.5	11.4	0.589	11.3
Namibia	2007	Developing	60.0	356	3	5.12	6.211039e+01	NA	21	29.4	4	81	6.99	86	15.2	4.225197e+02	2.799150e+05	12.0	12.0	0.578	11.3
Namibia	2006	Developing	57.0	431	3	4.94	4.591572e+02	NA	3	28.7	4	74	7.20	86	19.2	3.881295e+03	2.557340e+05	12.6	12.6	0.570	11.4
Namibia	2005	Developing	55.1	477	3	4.89	4.577201e+02	NA	4	27.9	4	86	7.32	86	22.1	3.573146e+03	2.321960e+05	13.1	13.1	0.565	11.6
Namibia	2004	Developing	54.7	483	3	4.80	3.682848e+02	NA	4	27.2	4	81	6.47	81	24.0	3.288257e+03	2.922800e+04	13.7	13.7	0.559	11.7
Namibia	2003	Developing	55.0	471	3	5.28	2.946572e+02	NA	262	26.5	4	82	6.52	79	24.7	2.482369e+03	1.986535e+06	14.2	14.3	0.554	11.7
Namibia	2002	Developing	55.7	452	3	5.09	2.037323e+02	NA	1278	25.8	4	78	6.17	77	24.6	1.713476e+03	1.962147e+06	14.7	14.8	0.556	11.8
Namibia	2001	Developing	56.5	426	3	5.09	2.058079e+02	NA	416	25.1	4	79	6.18	78	23.9	1.834295e+03	1.933596e+06	15.2	15.4	0.556	11.7
Namibia	2000	Developing	57.4	41	3	5.73	3.580979e+01	NA	469	24.5	4	8	6.11	79	22.8	2.579956e+02	1.899257e+06	15.7	15.9	0.559	11.5
Nauru	2013	Developing	NA	NA	0	0.01	1.560660e+01	87	0	87.3	0	87	4.65	87	0.1	1.361832e+02	NA	0.1	0.1	NA	9.6
Nepal	2015	Developing	69.2	165	17	NA	0.000000e+00	91	1599	19.1	21	9	NA	91	0.1	7.437653e+02	2.865628e+07	15.7	16.1	0.555	12.2
Nepal	2014	Developing	69.6	158	18	0.01	8.523486e+00	92	1279	18.5	22	92	5.80	92	0.1	7.623870e+01	2.832324e+07	15.9	16.3	0.551	12.4
Nepal	2013	Developing	69.3	162	19	0.27	8.015505e+01	92	1861	18.0	24	92	5.69	92	0.1	6.886173e+02	2.798531e+06	16.1	16.5	0.545	12.3
Nepal	2012	Developing	68.9	167	20	0.26	8.058788e+01	9	3362	17.4	25	9	5.89	9	0.2	6.817926e+02	2.764993e+07	16.3	16.7	0.538	12.3
Nepal	2011	Developing	68.4	172	22	0.27	1.121229e+02	92	2359	16.9	27	92	6.73	92	0.2	6.921167e+02	2.732715e+07	16.5	16.9	0.529	12.0
Nepal	2010	Developing	68.0	178	23	0.24	8.462303e+01	82	190	16.4	30	83	6.43	82	0.2	5.921835e+02	2.723137e+06	16.7	17.2	0.515	11.1
Nepal	2009	Developing	67.5	183	25	0.22	6.193570e+00	89	189	15.9	32	93	6.41	89	0.2	4.872990e+01	2.674113e+06	16.9	17.4	0.502	10.5
Nepal	2008	Developing	67.0	189	27	0.21	7.027113e+01	82	2089	15.4	35	82	6.44	82	0.2	4.738444e+02	2.647586e+07	17.0	17.6	0.492	10.1
Nepal	2007	Developing	66.6	194	29	0.20	5.222907e+01	82	1415	14.9	38	82	5.84	82	0.2	3.938844e+02	2.621485e+07	17.2	17.8	0.486	10.0
Nepal	2006	Developing	66.0	21	31	0.20	4.587990e+01	69	2838	14.4	41	91	5.70	89	0.2	3.486315e+02	2.594618e+06	17.4	18.0	0.476	9.6
Nepal	2005	Developing	65.4	28	33	0.20	4.259753e+00	41	5023	13.9	44	78	5.72	75	0.2	3.178920e+02	2.564287e+06	17.6	18.2	0.469	9.4
Nepal	2004	Developing	64.7	218	35	0.21	3.193187e+01	27	12074	13.4	47	8	5.82	8	0.2	2.874156e+02	2.539449e+06	17.8	18.4	0.463	9.3
Nepal	2003	Developing	64.3	22	38	0.20	2.790965e+00	2	13344	12.9	50	76	5.48	78	0.1	2.537241e+02	2.495623e+06	18.0	18.6	0.457	9.2
Nepal	2002	Developing	63.1	238	40	0.19	2.318395e+01	NA	6749	12.4	54	72	5.60	72	0.1	2.463756e+02	2.456634e+07	18.2	18.8	0.447	8.6
Nepal	2001	Developing	63.2	23	43	0.09	2.192814e+01	NA	10849	11.9	58	73	5.36	72	0.1	2.486184e+02	2.416178e+07	18.3	19.0	0.446	9.0
Nepal	2000	Developing	62.5	238	46	0.08	1.791234e+01	NA	9397	11.4	62	74	5.43	74	0.1	2.314255e+02	2.374911e+06	18.5	19.2	0.439	8.9
Netherlands	2015	Developed	81.9	57	1	NA	0.000000e+00	94	7	62.1	1	95	NA	95	0.1	4.429288e+04	1.693992e+07	1.0	0.9	0.923	18.1
Netherlands	2014	Developed	81.7	58	1	0.01	1.491704e+03	92	140	61.6	1	96	1.90	96	0.1	5.215747e+04	1.686580e+05	1.0	0.9	0.923	18.1
Netherlands	2013	Developed	81.4	6	1	8.68	1.475030e+03	51	2632	61.0	1	97	11.40	97	0.1	5.157449e+04	1.684432e+06	1.0	0.9	0.922	18.1
Netherlands	2012	Developed	81.1	62	1	9.05	1.162657e+03	2	10	6.5	1	97	11.10	97	0.1	4.947476e+04	1.675496e+07	1.0	0.9	0.921	18.1
Netherlands	2011	Developed	81.1	63	1	8.96	1.047370e+03	2	51	59.9	1	97	1.53	97	0.1	5.354654e+03	1.669374e+06	1.0	0.9	0.911	17.2
Netherlands	2010	Developed	88.0	64	1	9.33	1.035621e+03	NA	15	59.3	1	97	1.48	97	0.1	5.338255e+03	1.661539e+07	1.0	0.9	0.906	17.0
Netherlands	2009	Developed	86.0	65	1	9.23	9.685859e+01	NA	15	58.6	1	97	1.29	97	0.1	5.193490e+02	1.653388e+06	1.0	0.9	0.906	16.9
Netherlands	2008	Developed	83.0	68	1	9.62	1.087341e+04	NA	109	57.9	1	97	9.57	97	0.1	5.692882e+04	1.644559e+07	1.0	0.9	0.905	16.8
Netherlands	2007	Developed	82.0	68	1	9.53	9.689733e+03	NA	10	57.3	1	97	9.36	97	0.1	5.124132e+04	1.638170e+07	1.0	1.0	0.899	16.6
Netherlands	2006	Developed	79.8	71	1	9.79	8.344010e+03	NA	1	56.5	1	96	9.36	96	0.1	4.445397e+04	1.634611e+06	1.0	1.0	0.893	16.5
Netherlands	2005	Developed	79.4	72	1	9.69	6.577508e+03	NA	4	55.8	1	96	9.60	96	0.1	4.157717e+04	1.631987e+07	1.0	1.0	0.888	16.4
Netherlands	2004	Developed	79.2	77	1	9.56	5.170131e+03	NA	11	55.0	1	98	8.52	98	0.1	3.995464e+04	1.628178e+07	1.0	1.0	0.885	16.5
Netherlands	2003	Developed	78.7	8	1	9.56	4.472611e+03	NA	4	54.2	1	98	8.46	98	0.1	3.524516e+04	1.622532e+06	1.1	1.0	0.881	16.5
Netherlands	2002	Developed	78.4	81	1	9.68	3.455197e+03	NA	3	53.4	1	97	8.34	97	0.1	2.881732e+04	1.614893e+07	1.1	1.0	0.882	16.9
Netherlands	2001	Developed	78.3	82	1	9.95	3.054516e+03	NA	0	52.6	1	97	7.79	97	0.1	2.658412e+04	1.646180e+05	1.1	1.1	0.878	16.7
Netherlands	2000	Developed	78.1	84	1	10.06	2.944640e+03	NA	1019	51.8	1	97	7.42	97	0.1	2.592113e+04	1.592551e+07	1.1	1.1	0.873	16.5
New Zealand	2015	Developed	81.6	66	0	8.70	0.000000e+00	92	10	67.5	0	92	NA	92	0.1	3.821894e+03	NA	0.4	0.3	0.913	19.2
New Zealand	2014	Developed	81.5	67	0	9.07	1.040278e+03	93	280	66.9	0	93	11.30	93	0.1	4.453247e+03	NA	0.4	0.3	0.910	19.2
New Zealand	2013	Developed	81.3	69	0	9.18	1.001908e+04	93	8	66.4	0	92	11.17	92	0.1	4.288988e+04	NA	0.3	0.3	0.908	19.3
New Zealand	2012	Developed	81.1	7	0	9.20	9.245654e+02	93	68	65.9	0	93	11.53	93	0.1	3.997256e+03	NA	0.3	0.3	0.904	19.5
New Zealand	2011	Developed	86.0	72	0	9.47	8.342406e+03	95	597	65.3	0	95	11.24	95	0.1	3.842656e+04	NA	0.3	0.3	0.901	19.7
New Zealand	2010	Developed	89.0	71	0	9.62	6.664149e+03	9	43	64.8	0	93	11.20	93	0.1	3.369135e+04	NA	0.3	0.3	0.899	20.3
New Zealand	2009	Developed	85.0	73	0	9.24	6.357705e+01	93	198	64.3	0	92	11.21	92	0.1	2.829419e+02	NA	0.3	0.3	0.895	19.3
New Zealand	2008	Developed	81.0	75	0	9.49	6.761289e+03	9	0	63.8	0	89	1.70	89	0.1	3.128778e+04	NA	0.3	0.3	0.894	19.5
New Zealand	2007	Developed	81.0	76	0	9.19	6.063107e+02	88	25	63.2	0	88	8.35	88	0.1	3.259735e+03	NA	0.3	0.3	0.891	19.2
New Zealand	2006	Developed	79.9	76	0	9.34	4.962228e+02	87	20	62.6	0	89	8.65	89	0.1	2.667865e+03	NA	0.3	0.3	0.888	19.1
New Zealand	2005	Developed	79.9	78	0	9.31	4.910559e+02	87	20	62.1	0	89	8.25	89	0.1	2.775895e+03	NA	0.3	0.3	0.886	18.9
New Zealand	2004	Developed	79.2	79	0	9.15	4.423775e+02	88	33	61.5	0	87	7.89	89	0.1	2.542399e+03	NA	0.3	0.3	0.884	18.4
New Zealand	2003	Developed	79.1	82	0	8.91	3.661793e+03	89	66	6.9	0	86	7.71	9	0.1	2.191378e+04	NA	0.3	0.3	0.881	18.2
New Zealand	2002	Developed	78.7	83	0	9.13	2.892257e+03	89	21	6.3	0	84	7.89	9	0.1	1.687431e+04	NA	0.3	0.3	0.873	17.5
New Zealand	2001	Developed	78.5	83	0	8.75	2.205986e+03	9	65	59.6	0	82	7.58	9	0.1	1.388286e+04	NA	0.3	0.3	0.868	17.4
New Zealand	2000	Developed	78.6	87	0	8.91	2.143021e+03	9	65	58.9	0	82	7.47	9	0.1	1.364113e+04	NA	0.3	0.3	0.864	17.2
Nicaragua	2015	Developing	74.8	145	2	NA	0.000000e+00	98	0	54.0	2	99	NA	98	0.1	2.959665e+02	6.823500e+04	1.8	1.7	0.642	11.7
Nicaragua	2014	Developing	74.5	148	2	3.55	4.731238e+02	98	0	53.2	3	99	9.40	98	0.1	1.975465e+03	6.139970e+05	1.8	1.7	0.636	11.6
Nicaragua	2013	Developing	73.9	157	2	3.58	3.664842e+02	98	0	52.4	3	99	8.43	98	0.1	1.847198e+03	5.945747e+06	1.8	1.7	0.630	11.5
Nicaragua	2012	Developing	73.9	157	2	3.63	3.348174e+02	98	0	51.7	3	99	8.40	98	0.1	1.792384e+03	5.877180e+05	1.8	1.7	0.625	11.5
Nicaragua	2011	Developing	74.5	147	3	3.39	3.216133e+02	98	0	5.9	3	99	6.39	98	0.1	1.682958e+03	5.878200e+04	1.8	1.8	0.620	11.5
Nicaragua	2010	Developing	73.2	154	3	3.38	3.027045e+02	98	0	5.2	3	99	6.58	98	0.1	1.526498e+03	5.737723e+06	1.9	1.8	0.614	11.4
Nicaragua	2009	Developing	73.2	163	3	3.36	2.927531e+02	98	0	49.4	3	99	6.82	98	0.2	1.464498e+03	5.666581e+06	1.9	1.8	0.613	11.3
Nicaragua	2008	Developing	72.5	169	3	3.64	2.750644e+02	97	0	48.6	3	97	6.98	97	0.2	1.518854e+03	5.594560e+05	1.9	1.8	0.607	11.1
Nicaragua	2007	Developing	72.5	173	3	3.83	2.530008e+02	93	0	47.9	4	93	6.91	93	0.2	1.344319e+03	5.522160e+05	2.0	1.9	0.601	11.0
Nicaragua	2006	Developing	73.0	17	3	3.69	2.141124e+01	88	0	47.1	4	88	6.33	88	0.3	1.249926e+02	5.452110e+05	2.0	1.9	0.597	11.0
Nicaragua	2005	Developing	71.2	194	3	3.70	2.185716e+02	86	0	46.4	4	87	6.11	86	0.3	1.175116e+03	5.379328e+06	2.0	1.9	0.592	11.0
Nicaragua	2004	Developing	71.0	194	4	3.81	3.681621e+01	79	0	45.7	4	8	6.13	79	0.3	1.915516e+02	5.397300e+04	2.1	2.0	0.587	11.0
Nicaragua	2003	Developing	76.0	198	4	3.77	2.542437e+00	86	0	44.9	5	86	6.12	86	0.3	1.155653e+02	5.248790e+05	2.1	2.0	0.583	11.0
Nicaragua	2002	Developing	75.0	197	4	3.50	2.092344e+00	85	0	44.2	5	85	5.71	85	0.4	1.114728e+01	5.171734e+06	2.2	2.1	0.577	10.7
Nicaragua	2001	Developing	73.0	193	4	3.51	2.235595e+01	87	0	43.5	5	89	5.26	87	0.4	1.436758e+02	5.175000e+03	2.2	2.1	0.570	10.4
Nicaragua	2000	Developing	73.0	192	4	3.61	1.525519e+01	83	0	42.8	5	85	5.39	83	0.4	1.162743e+02	5.267960e+05	2.2	2.1	0.562	10.1
Niger	2015	Developing	61.8	22	49	NA	0.000000e+00	65	7693	19.3	87	65	NA	65	0.4	3.589973e+02	1.989697e+07	9.6	9.4	0.351	5.4
Niger	2014	Developing	61.4	223	49	0.01	3.304040e+00	68	1142	18.9	88	67	5.82	68	0.5	4.364650e+01	1.914822e+07	9.8	9.6	0.345	5.3
Niger	2013	Developing	69.0	227	49	0.01	3.150243e+01	67	1224	18.5	89	56	5.90	67	0.6	4.161484e+02	1.842637e+07	1.0	9.9	0.341	5.3
Niger	2012	Developing	63.0	232	49	0.01	2.975518e+01	71	272	18.1	90	71	6.11	71	0.7	3.915155e+02	1.773163e+07	1.3	1.1	0.331	5.1
Niger	2011	Developing	59.4	241	50	0.15	3.222493e+01	75	771	17.7	93	4	6.66	75	0.7	3.755820e+02	1.764636e+06	1.5	1.3	0.323	4.8
Niger	2010	Developing	58.2	252	50	0.12	5.883761e+00	7	372	17.3	95	75	6.36	7	0.9	3.481515e+02	1.642558e+07	1.7	1.6	0.312	4.5
Niger	2009	Developing	57.1	263	51	0.11	5.665405e+00	71	801	16.9	99	71	6.98	71	1.1	3.412895e+02	1.581391e+07	11.0	1.8	0.307	4.2
Niger	2008	Developing	56.0	272	52	0.12	4.037836e+01	NA	1317	16.5	102	68	6.76	67	1.3	3.548186e+02	1.522853e+07	11.2	11.0	0.298	4.0
Niger	2007	Developing	55.2	276	53	0.10	3.580930e+01	NA	282	16.1	106	57	6.94	57	1.4	2.925596e+02	1.466834e+07	11.4	11.3	0.293	3.8
Niger	2006	Developing	54.5	277	54	0.11	4.342193e+01	NA	59	15.7	110	52	7.39	51	1.5	2.584639e+02	1.413264e+06	11.6	11.5	0.286	3.7
Niger	2005	Developing	53.7	278	55	0.11	3.751715e+00	NA	2183	15.4	114	46	7.15	45	1.6	2.538373e+01	1.361845e+07	11.9	11.8	0.278	3.5
Niger	2004	Developing	52.9	279	56	0.11	2.086118e+01	NA	63057	15.0	118	45	6.61	43	1.6	2.325662e+02	1.312712e+06	12.1	12.0	0.270	3.1
Niger	2003	Developing	52.1	28	56	0.10	2.026877e+01	NA	54190	14.6	121	44	6.23	41	1.6	2.158548e+02	1.265687e+06	12.3	12.2	0.266	3.0
Niger	2002	Developing	51.4	282	57	0.10	1.758723e+01	NA	31584	14.3	124	43	6.55	39	1.6	1.778284e+02	1.226200e+04	12.5	12.5	0.261	2.9
Niger	2001	Developing	56.0	283	57	0.11	1.817830e+00	NA	61208	13.9	127	42	7.10	36	1.6	1.652572e+02	1.177198e+07	12.7	12.7	0.255	2.9
Niger	2000	Developing	50.0	284	58	0.10	1.335784e+01	NA	21319	13.6	128	41	6.10	34	1.5	1.584560e+02	1.135297e+07	12.8	12.9	0.253	2.8
Nigeria	2015	Developing	54.5	344	483	NA	0.000000e+00	49	12423	25.4	747	49	NA	49	3.7	2.655158e+03	1.811817e+08	9.8	9.7	0.525	10.0
Nigeria	2014	Developing	53.6	362	490	0.01	2.632111e+02	49	6855	24.7	759	49	3.67	49	3.9	3.221678e+03	1.764652e+06	1.1	9.9	0.521	10.0
Nigeria	2013	Developing	53.2	367	498	8.30	1.942033e+02	46	52852	24.1	773	46	3.70	46	3.9	2.996964e+03	1.718293e+07	1.4	1.2	0.514	9.8
Nigeria	2012	Developing	52.7	374	505	8.54	2.047186e+02	42	6447	23.5	788	42	3.30	42	4.4	2.755298e+03	1.672973e+08	1.7	1.6	0.507	9.7
Nigeria	2011	Developing	52.3	375	513	8.75	1.875733e+02	46	18843	22.8	802	48	3.69	48	4.7	2.527942e+03	1.628778e+07	11.0	1.9	0.500	9.6
Nigeria	2010	Developing	52.0	374	521	8.90	1.331231e+02	49	8491	22.2	817	54	3.47	54	4.8	2.327327e+03	1.585783e+08	11.3	11.2	0.492	9.5
Nigeria	2009	Developing	51.6	376	527	9.05	1.456765e+01	63	1272	21.6	832	66	4.24	63	4.9	1.976614e+02	1.544218e+07	11.7	11.6	0.487	9.3
Nigeria	2008	Developing	59.0	386	536	9.30	1.055911e+02	41	9960	21.0	848	6	4.00	53	5.0	1.383893e+03	1.534739e+06	12.0	11.9	0.481	9.2
Nigeria	2007	Developing	55.0	388	542	9.55	1.044746e+02	42	2613	2.4	863	54	4.47	42	5.2	1.136830e+03	1.464172e+07	12.3	12.3	0.477	9.1
Nigeria	2006	Developing	49.8	396	549	9.66	1.035779e+01	27	704	19.9	879	46	3.66	4	5.3	1.197433e+02	1.426149e+07	12.6	12.6	0.466	9.0
Nigeria	2005	Developing	49.2	4	556	9.71	6.416253e+00	18	110927	19.3	893	45	4.11	36	5.4	8.789387e+01	1.389395e+08	12.9	12.9	0.463	8.9
Nigeria	2004	Developing	48.5	47	563	9.76	5.722556e+01	NA	31521	18.8	907	43	4.33	33	5.4	6.488159e+02	1.353936e+08	13.2	13.2	0.445	8.5
Nigeria	2003	Developing	48.1	41	567	9.75	3.019551e+01	NA	141258	18.3	918	42	4.50	29	5.4	5.126572e+02	1.319725e+08	13.5	13.6	0.000	8.1
Nigeria	2002	Developing	47.7	49	571	9.61	1.713775e+01	NA	42007	17.8	928	4	2.43	25	5.3	4.594572e+02	1.286667e+07	13.8	13.8	0.000	7.7
Nigeria	2001	Developing	47.4	48	574	9.58	1.583099e+01	NA	168107	17.3	936	36	3.25	27	5.1	3.517997e+02	1.254634e+08	14.1	14.1	0.000	8.0
Nigeria	2000	Developing	47.1	45	576	9.23	2.248178e+01	NA	212183	16.9	943	31	2.84	29	4.9	3.791193e+02	1.223529e+06	14.3	14.4	0.000	7.6
Niue	2013	Developing	NA	NA	0	0.01	0.000000e+00	99	0	77.3	0	99	7.20	99	0.1	NA	NA	0.1	0.1	NA	NA
Norway	2015	Developed	81.8	59	0	5.97	0.000000e+00	NA	14	61.2	0	95	NA	95	0.1	7.455247e+03	5.188670e+05	0.8	0.7	0.948	17.7
Norway	2014	Developed	81.6	61	0	6.06	1.776383e+02	NA	3	6.8	0	93	9.72	93	0.1	9.754986e+02	5.137232e+06	0.8	0.7	0.945	17.7
Norway	2013	Developed	81.5	62	0	6.21	2.347829e+02	NA	8	6.3	0	94	9.39	94	0.1	1.291435e+03	5.796230e+05	0.8	0.7	0.942	17.5
Norway	2012	Developed	81.3	61	0	6.21	2.094191e+03	NA	4	59.8	0	95	9.16	95	0.1	1.156373e+04	5.185730e+05	0.7	0.7	0.941	17.6
Norway	2011	Developed	81.1	67	0	6.53	2.773551e+02	NA	39	59.4	0	94	9.14	94	0.1	1.574986e+03	4.953880e+05	0.7	0.7	0.939	17.6
Norway	2010	Developed	81.0	66	0	6.59	1.526806e+04	NA	3	58.9	0	93	9.26	93	0.1	8.764675e+04	4.889252e+06	0.7	0.7	0.936	17.4
Norway	2009	Developed	89.0	67	0	6.68	1.423749e+02	NA	2	58.5	0	94	9.49	94	0.1	8.177768e+02	4.828726e+06	0.7	0.7	0.936	17.4
Norway	2008	Developed	86.0	67	0	6.75	1.707131e+03	NA	4	58.0	0	94	8.40	94	0.1	9.688596e+03	4.768212e+06	0.7	0.7	0.936	17.6
Norway	2007	Developed	85.0	67	0	6.60	1.482941e+04	NA	0	57.5	0	93	8.58	93	0.1	8.512866e+04	4.791530e+05	0.7	0.7	0.934	17.6
Norway	2006	Developed	84.0	7	0	6.47	1.282925e+04	NA	0	57.0	0	94	8.43	94	0.1	7.411470e+04	4.666770e+05	0.8	0.7	0.931	17.5
Norway	2005	Developed	81.0	73	0	6.37	1.179253e+04	NA	0	56.5	0	91	8.89	91	0.1	6.677539e+04	4.623291e+06	0.8	0.7	0.929	17.6
Norway	2004	Developed	79.8	77	0	6.22	1.009825e+03	NA	7	55.9	0	92	9.44	92	0.1	5.757269e+03	4.591910e+05	0.8	0.7	0.924	17.5
Norway	2003	Developed	79.4	78	0	6.04	8.807381e+02	NA	8	55.3	0	92	9.85	92	0.1	5.111654e+03	4.564855e+06	0.8	0.7	0.918	17.1
Norway	2002	Developed	78.9	81	0	5.89	7.496823e+02	NA	5	54.6	0	93	9.62	93	0.1	4.361154e+03	4.538159e+06	0.8	0.7	0.916	17.1
Norway	2001	Developed	78.8	82	0	5.49	6.356827e+03	NA	4	54.0	0	91	8.65	91	0.1	3.854959e+04	4.513751e+06	0.8	0.7	0.917	17.5
Norway	2000	Developed	78.5	85	0	5.67	6.191212e+03	NA	0	53.3	0	91	8.27	9	0.1	3.814672e+04	4.499670e+05	0.8	0.7	0.911	17.1
Oman	2015	Developing	76.6	99	1	NA	0.000000e+00	99	0	54.6	1	99	NA	99	0.1	1.662736e+04	NA	7.1	6.9	0.795	13.7
Oman	2014	Developing	76.4	11	1	0.40	1.661914e+02	99	0	53.5	1	99	3.55	99	0.1	2.458452e+03	NA	7.1	6.9	0.796	13.7
Oman	2013	Developing	76.2	12	1	0.46	1.154893e+03	98	0	52.8	1	99	2.76	98	0.1	2.126876e+04	NA	7.0	6.8	0.796	13.7
Oman	2012	Developing	76.0	14	1	0.51	1.055835e+03	98	13	52.3	1	99	2.52	98	0.1	2.213492e+04	NA	7.0	6.8	0.797	13.7
Oman	2011	Developing	75.8	15	1	0.54	1.582771e+02	99	5	52.0	1	99	2.49	99	0.1	2.986360e+03	NA	6.9	6.8	0.797	13.6
Oman	2010	Developing	75.6	16	1	0.56	1.292261e+02	99	3	51.8	1	99	2.74	99	0.1	1.928747e+03	NA	6.9	6.8	0.797	13.5
Oman	2009	Developing	75.4	18	1	0.56	1.040629e+03	98	19	51.5	1	96	2.83	98	0.1	1.678435e+04	NA	6.9	6.8	0.782	12.4
Oman	2008	Developing	75.2	19	1	0.57	1.230966e+02	99	18	51.1	1	97	2.10	99	0.1	2.275354e+03	NA	6.9	6.8	0.765	11.9
Oman	2007	Developing	74.9	113	1	0.57	8.845038e+01	99	24	5.6	1	97	2.43	99	0.1	1.585132e+03	NA	7.0	6.8	0.753	11.5
Oman	2006	Developing	74.7	115	1	0.58	7.851141e+01	99	13	5.1	1	98	2.31	98	0.1	1.448550e+03	NA	7.0	6.8	0.748	11.6
Oman	2005	Developing	74.3	118	1	0.63	8.540116e+02	99	25	49.5	1	99	2.59	99	0.1	1.237698e+04	NA	7.0	6.8	0.742	11.5
Oman	2004	Developing	74.0	122	1	0.61	7.046762e+01	99	18	48.9	1	99	2.98	99	0.1	1.129289e+03	NA	7.1	6.8	0.734	11.5
Oman	2003	Developing	73.6	127	1	0.56	6.565631e+01	99	1	48.1	1	99	3.17	99	0.1	9.698126e+02	NA	7.1	6.8	0.725	11.2
Oman	2002	Developing	73.3	13	1	0.54	5.859171e+02	99	5	47.3	1	99	3.18	99	0.1	8.629118e+03	NA	7.1	6.8	0.716	11.0
Oman	2001	Developing	72.9	134	1	0.55	5.645426e+02	99	15	46.5	1	99	3.80	99	0.1	8.476615e+03	NA	7.1	6.9	0.705	10.7
Oman	2000	Developing	72.6	138	1	0.38	6.286658e+01	99	15	45.9	1	99	3.70	99	0.1	8.611860e+02	NA	7.2	6.9	0.000	10.4
Pakistan	2015	Developing	66.4	161	352	NA	0.000000e+00	72	386	25.4	433	72	NA	72	0.1	1.431245e+03	1.893851e+07	19.2	19.6	0.548	8.1
Pakistan	2014	Developing	66.2	162	359	0.01	6.229361e+01	72	1370	24.7	442	72	2.61	72	0.1	1.316990e+03	1.855463e+08	19.4	19.8	0.542	7.8
Pakistan	2013	Developing	66.0	163	365	0.04	6.018649e+01	72	8749	23.9	450	72	2.70	72	0.1	1.272442e+03	1.817126e+08	19.6	2.0	0.538	7.7
Pakistan	2012	Developing	65.7	165	369	0.04	5.965900e+01	72	8046	23.2	456	72	2.76	72	0.1	1.261290e+03	1.779115e+08	19.8	2.2	0.529	7.6
Pakistan	2011	Developing	65.5	167	371	0.04	5.787736e+01	74	4386	22.5	459	75	3.10	74	0.1	1.226215e+03	1.741843e+08	2.0	2.4	0.525	7.5
Pakistan	2010	Developing	65.1	172	372	0.04	6.675150e-01	82	4321	21.9	461	82	3.20	82	0.1	1.414227e+01	1.756182e+06	2.2	2.7	0.521	7.5
Pakistan	2009	Developing	64.8	175	371	0.03	6.972156e-01	78	863	21.3	460	7	2.94	71	0.1	1.663999e+01	1.674958e+06	2.5	2.9	0.514	7.3
Pakistan	2008	Developing	64.6	177	369	0.03	5.447134e+00	65	1129	2.6	460	7	3.26	62	0.1	1.393129e+02	1.636446e+07	2.7	21.1	0.513	7.3
Pakistan	2007	Developing	64.4	178	367	0.03	3.912745e+00	75	2801	2.1	459	75	3.35	75	0.1	9.543279e+01	1.633297e+07	2.8	21.3	0.505	6.7
Pakistan	2006	Developing	64.2	179	365	0.03	4.036830e+01	78	7641	19.5	458	77	3.40	78	0.1	8.737727e+02	1.579399e+07	21.0	21.5	0.501	6.5
Pakistan	2005	Developing	62.9	2	364	0.04	3.059321e+01	7	2981	18.9	459	78	2.91	77	0.1	7.114699e+02	1.539967e+07	21.2	21.7	0.487	6.1
Pakistan	2004	Developing	63.7	183	364	0.01	2.898323e+01	65	4248	18.4	461	65	2.56	65	0.1	6.498482e+02	1.578300e+04	21.4	21.8	0.474	5.6
Pakistan	2003	Developing	63.5	185	366	0.01	2.423456e+01	63	4740	17.9	466	69	2.61	67	0.1	5.635943e+02	1.477341e+06	21.6	22.0	0.465	5.6
Pakistan	2002	Developing	63.2	187	371	0.01	2.239388e+01	NA	3903	17.4	474	71	2.76	68	0.1	4.998633e+02	1.446541e+08	21.8	22.2	0.457	5.5
Pakistan	2001	Developing	63.0	189	377	0.01	1.766663e+00	NA	3849	16.9	483	68	2.61	65	0.1	5.165682e+01	1.416144e+07	22.0	22.4	0.450	5.4
Pakistan	2000	Developing	62.8	19	385	0.02	1.884534e+01	NA	2064	16.4	495	65	2.79	62	0.1	5.338624e+02	1.385233e+08	22.2	22.6	0.445	5.3
Palau	2013	Developing	NA	NA	0	NA	3.446906e+02	99	0	83.3	0	99	9.27	99	0.1	1.932122e+03	2.920000e+02	0.1	0.1	0.779	14.2
Panama	2015	Developing	77.8	118	1	NA	0.000000e+00	73	0	57.8	1	72	NA	73	0.1	1.313444e+04	3.969249e+06	1.9	1.8	0.785	13.0
Panama	2014	Developing	77.6	119	1	6.74	1.842464e+03	8	0	57.1	1	8	8.30	8	0.1	1.259374e+04	3.939860e+05	1.9	1.8	0.780	13.0
Panama	2013	Developing	77.5	118	1	6.89	1.694467e+03	8	0	56.3	1	81	8.90	8	0.1	1.168598e+04	3.838462e+06	1.9	1.9	0.773	12.9
Panama	2012	Developing	77.2	12	1	6.95	2.017491e+02	85	0	55.6	1	87	7.25	85	0.1	1.589827e+03	3.772938e+06	1.9	1.9	0.765	12.8
Panama	2011	Developing	77.3	121	1	6.90	1.192124e+02	87	4	54.9	1	91	7.50	87	0.1	9.277232e+02	3.777820e+05	2.0	1.9	0.758	12.9
Panama	2010	Developing	76.5	122	1	6.94	1.199320e+03	94	0	54.2	2	95	8.50	94	0.1	7.937260e+03	3.643222e+06	2.0	1.9	0.756	12.8
Panama	2009	Developing	76.8	127	1	6.87	1.092155e+03	85	0	53.4	2	85	7.56	85	0.1	7.429628e+03	3.579385e+06	2.0	1.9	0.755	12.8
Panama	2008	Developing	76.5	127	1	6.74	9.568230e+02	86	0	52.7	2	86	6.75	86	0.1	6.973928e+03	3.516268e+06	2.0	2.0	0.750	12.8
Panama	2007	Developing	76.4	124	1	6.16	7.625080e+01	85	0	51.9	2	84	6.31	85	0.2	6.688667e+02	3.453870e+05	2.1	2.0	0.743	12.9
Panama	2006	Developing	76.2	125	1	5.72	6.311252e+02	88	0	51.1	2	98	7.00	88	0.1	5.348518e+03	3.391950e+05	2.1	2.0	0.744	12.9
Panama	2005	Developing	75.8	122	1	5.53	6.239101e+02	92	0	5.3	2	88	7.48	92	0.1	4.916549e+03	3.334650e+05	2.1	2.1	0.740	12.9
Panama	2004	Developing	75.8	123	1	5.69	5.276085e+02	95	0	49.5	2	92	8.90	95	0.2	4.591893e+03	3.269541e+06	2.2	2.1	0.733	12.8
Panama	2003	Developing	75.5	126	1	5.52	5.845976e+01	98	0	48.6	2	95	7.60	98	0.1	4.267136e+03	3.291740e+05	2.2	2.2	0.728	12.8
Panama	2002	Developing	75.7	125	1	5.52	7.880940e+01	98	0	47.8	2	99	8.30	99	0.2	4.126147e+03	3.149265e+06	2.3	2.2	0.725	12.6
Panama	2001	Developing	75.5	124	2	5.43	7.320514e+00	98	0	46.9	2	95	7.72	99	0.1	4.463728e+02	3.896840e+05	2.3	2.3	0.721	12.4
Panama	2000	Developing	75.7	121	2	5.58	9.871021e+00	NA	0	45.9	2	99	7.76	98	0.2	4.629935e+01	3.334700e+04	2.4	2.3	0.716	12.1
Papua New Guinea	2015	Developing	62.9	275	10	NA	0.000000e+00	67	38	48.6	12	74	NA	73	0.6	NA	7.919825e+06	1.3	1.3	0.515	10.0
Papua New Guinea	2014	Developing	62.7	278	10	0.01	2.082312e+02	67	2299	47.9	13	64	4.26	73	0.7	2.182717e+03	7.755785e+06	1.3	1.3	0.511	10.0
Papua New Guinea	2013	Developing	62.4	281	10	0.01	2.570882e+01	73	12	47.2	13	8	4.78	79	0.8	2.299536e+02	7.592865e+06	1.3	1.3	0.506	10.0
Papua New Guinea	2012	Developing	62.2	284	10	0.01	3.163577e+01	68	0	46.4	13	81	4.55	74	1.0	2.713187e+02	7.438360e+05	1.3	1.3	0.501	9.9
Papua New Guinea	2011	Developing	62.0	285	10	0.88	2.340731e+01	66	0	45.7	13	69	4.94	72	1.0	1.778671e+02	7.269348e+06	1.3	1.3	0.494	9.9
Papua New Guinea	2010	Developing	61.8	286	10	0.79	1.899962e+01	56	0	44.9	14	72	4.18	67	1.1	1.366879e+03	7.182390e+05	1.4	1.3	0.485	9.6
Papua New Guinea	2009	Developing	61.6	288	11	0.82	2.053328e+01	66	0	44.2	14	79	4.36	73	1.1	1.166663e+03	6.947447e+06	1.4	1.3	0.477	9.2
Papua New Guinea	2008	Developing	61.4	29	11	0.81	1.037278e+02	59	0	43.4	14	76	4.60	63	1.3	1.178725e+03	6.787187e+06	1.4	1.3	0.469	8.9
Papua New Guinea	2007	Developing	61.1	295	11	0.71	8.571754e+01	61	0	42.7	14	72	4.40	71	1.4	9.566690e+02	6.627922e+06	1.4	1.3	0.461	8.6
Papua New Guinea	2006	Developing	68.0	299	11	0.64	1.266142e+02	71	1	41.9	14	67	5.92	72	1.5	8.543469e+02	6.472720e+05	1.4	1.4	0.454	8.2
Papua New Guinea	2005	Developing	64.0	37	11	0.84	1.205552e+01	63	1222	41.1	15	61	6.42	72	1.5	7.757735e+01	6.314790e+05	1.4	1.4	0.446	7.9
Papua New Guinea	2004	Developing	59.9	314	11	0.58	1.580019e+02	6	1385	4.4	15	59	8.39	62	1.5	6.373616e+02	6.161517e+06	1.5	1.4	0.439	7.6
Papua New Guinea	2003	Developing	59.6	321	11	0.59	1.243789e+02	67	3863	39.6	14	62	6.79	68	1.4	5.883583e+02	6.172400e+04	1.5	1.4	0.433	7.2
Papua New Guinea	2002	Developing	59.3	327	11	0.61	1.109803e+02	6	17620	38.9	14	54	7.69	61	1.4	5.116658e+02	5.862316e+06	1.5	1.5	0.428	6.9
Papua New Guinea	2001	Developing	59.1	331	11	0.68	9.337278e+01	59	4023	38.2	14	52	6.68	55	1.3	5.394153e+02	5.716152e+06	1.5	1.5	0.422	6.6
Papua New Guinea	2000	Developing	58.9	335	11	0.73	6.256274e+01	57	7135	37.5	14	51	3.98	59	1.1	6.319469e+02	5.572222e+06	1.6	1.5	0.418	6.2
Paraguay	2015	Developing	74.0	146	2	NA	0.000000e+00	93	0	5.2	3	89	NA	93	0.2	4.193677e+02	6.639119e+06	2.0	1.9	0.692	12.3
Paraguay	2014	Developing	73.9	147	3	0.01	5.617685e+02	87	0	49.4	3	83	9.81	87	0.2	4.712823e+03	6.552584e+06	2.0	1.9	0.688	12.3
Paraguay	2013	Developing	73.8	148	3	5.03	5.734347e+02	86	0	48.6	3	8	1.49	86	0.2	4.479959e+03	6.465740e+05	2.0	1.9	0.679	12.3
Paraguay	2012	Developing	73.6	148	3	5.36	4.418446e+02	87	0	47.9	3	83	1.33	87	0.1	3.855538e+03	6.379219e+06	2.0	2.0	0.679	12.3
Paraguay	2011	Developing	73.4	15	3	5.79	4.721933e+02	89	0	47.1	3	84	9.42	89	0.1	3.988119e+03	6.293783e+06	2.1	2.0	0.675	12.3
Paraguay	2010	Developing	73.2	152	3	5.65	3.599760e+02	89	0	46.4	3	85	9.10	89	0.1	3.225592e+03	6.298770e+05	2.1	2.0	0.664	12.4
Paraguay	2009	Developing	73.0	155	3	5.39	3.093520e+01	85	0	45.6	3	81	9.14	85	0.1	2.599596e+03	6.127837e+06	2.1	2.0	0.663	12.1
Paraguay	2008	Developing	72.7	157	3	6.14	3.473925e+01	87	0	44.9	4	85	7.60	89	0.1	3.599922e+02	6.471170e+05	2.1	2.1	0.654	11.9
Paraguay	2007	Developing	72.5	159	3	5.61	3.186202e+02	86	0	44.2	4	95	6.41	95	0.1	2.312193e+03	5.966159e+06	2.2	2.1	0.649	12.0
Paraguay	2006	Developing	72.3	161	3	5.61	2.618072e+01	92	0	43.5	4	98	6.43	98	0.2	1.897154e+02	5.882796e+06	2.2	2.2	0.648	12.1
Paraguay	2005	Developing	72.1	163	3	6.38	2.068037e+01	92	0	42.8	4	96	6.70	96	0.2	1.571457e+02	5.795494e+06	2.3	2.2	0.646	12.3
Paraguay	2004	Developing	71.9	165	3	6.20	2.060083e+01	9	0	42.0	4	92	5.78	92	0.2	1.485280e+02	5.737400e+04	2.3	2.2	0.639	12.1
Paraguay	2003	Developing	71.7	166	4	6.64	1.554233e+02	86	0	41.3	4	86	5.99	86	0.1	1.174779e+03	5.679500e+04	2.4	2.3	0.642	12.7
Paraguay	2002	Developing	71.5	168	4	5.66	1.528294e+02	NA	0	4.6	4	87	6.77	87	0.1	1.148230e+03	5.586110e+05	2.4	2.3	0.632	12.2
Paraguay	2001	Developing	71.2	17	4	6.66	2.338489e+02	NA	0	39.8	5	9	7.61	89	0.1	1.417266e+03	5.466240e+05	2.5	2.4	0.624	11.8
Paraguay	2000	Developing	79.0	172	4	6.78	2.735759e+02	NA	0	39.1	5	86	8.10	86	0.1	1.545626e+03	5.327000e+03	2.5	2.4	0.625	11.6
Peru	2015	Developing	75.5	123	8	NA	0.000000e+00	9	4	55.6	10	88	NA	9	0.1	6.334326e+01	3.137667e+07	1.1	1.1	0.737	13.4
Peru	2014	Developing	75.3	125	8	0.01	9.737287e+02	88	0	54.9	10	78	5.47	88	0.1	6.491525e+03	3.973354e+06	1.1	1.1	0.735	13.4
Peru	2013	Developing	75.3	125	8	5.38	9.466521e+02	88	0	54.2	11	71	5.23	88	0.1	6.583116e+03	3.565716e+06	1.1	1.1	0.731	13.4
Peru	2012	Developing	74.9	129	9	5.14	8.859858e+02	95	0	53.6	11	94	5.18	95	0.1	6.387785e+03	3.158966e+06	1.1	1.1	0.725	13.4
Peru	2011	Developing	74.5	133	9	4.83	7.595381e+02	91	0	52.9	12	91	4.93	91	0.2	5.771566e+03	2.975999e+07	1.1	1.1	0.721	13.4
Peru	2010	Developing	73.7	14	10	4.72	6.943935e+01	93	0	52.2	12	92	5.30	93	0.2	5.224932e+02	2.937365e+07	1.1	1.1	0.708	13.3
Peru	2009	Developing	73.8	14	10	4.69	5.704532e+02	93	0	51.5	13	92	5.36	93	0.3	4.166934e+03	2.915700e+04	1.2	1.2	0.706	13.3
Peru	2008	Developing	73.9	138	11	4.85	5.849897e+01	93	1	5.8	14	93	4.73	93	0.3	4.288781e+02	2.864198e+06	1.2	1.2	0.700	13.2
Peru	2007	Developing	74.0	133	11	4.29	5.164037e+02	93	0	5.2	15	93	4.60	93	0.3	3.611215e+03	2.829272e+07	1.2	1.2	0.696	13.2
Peru	2006	Developing	74.2	134	12	4.22	4.487670e+02	94	0	49.5	15	94	4.47	94	0.4	3.171499e+03	2.794994e+07	1.2	1.2	0.693	13.0
Peru	2005	Developing	72.8	148	13	4.44	4.115646e+02	94	0	48.8	16	66	4.72	77	0.4	2.754783e+03	2.761410e+05	1.3	1.3	0.692	13.0
Peru	2004	Developing	72.2	151	14	4.27	3.569394e+02	92	0	48.1	18	81	4.56	86	0.4	2.448144e+03	2.727319e+07	1.3	1.3	0.685	12.8
Peru	2003	Developing	72.1	152	15	4.50	3.470334e+01	65	0	47.4	19	95	4.60	94	0.4	2.182600e+02	2.693774e+07	1.3	1.3	0.686	13.3
Peru	2002	Developing	72.6	144	16	4.03	4.053778e+01	NA	0	46.7	20	95	4.94	95	0.4	2.591930e+02	2.661467e+06	1.4	1.4	0.686	13.9
Peru	2001	Developing	72.4	142	17	4.22	3.025359e+02	NA	0	46.1	22	9	4.98	9	0.5	1.981244e+03	2.626136e+07	1.4	1.4	0.677	13.4
Peru	2000	Developing	71.4	154	18	4.59	2.975112e+02	NA	1	45.4	24	93	4.83	98	0.5	1.996720e+03	2.591488e+07	1.4	1.4	0.674	13.5
Philippines	2015	Developing	68.5	211	52	NA	0.000000e+00	6	619	25.4	66	79	NA	6	0.1	2.878338e+03	1.171636e+07	1.0	9.7	0.679	11.7
Philippines	2014	Developing	68.4	214	54	4.52	3.127232e+01	67	58848	24.8	68	77	4.71	67	0.1	2.842938e+03	1.122490e+05	1.0	9.7	0.676	11.7
Philippines	2013	Developing	68.1	219	55	4.61	2.458973e+01	89	2920	24.3	69	84	4.56	89	0.1	2.762891e+02	9.848132e+06	1.0	9.7	0.671	11.7
Philippines	2012	Developing	68.1	217	56	5.02	2.127418e+02	88	1536	23.7	71	88	4.46	88	0.1	2.581819e+03	9.686664e+07	1.0	9.7	0.666	11.6
Philippines	2011	Developing	68.0	218	57	4.96	1.914950e+02	87	6538	23.1	72	87	4.29	87	0.1	2.352518e+03	9.527794e+06	1.0	9.7	0.669	11.5
Philippines	2010	Developing	67.9	218	58	4.85	1.982564e+02	77	6368	22.6	74	78	4.37	79	0.1	2.129499e+03	9.372662e+07	1.0	9.7	0.662	11.4
Philippines	2009	Developing	68.0	219	59	4.42	1.595348e+02	85	1469	22.1	76	86	4.41	87	0.1	1.825342e+03	9.222879e+06	1.0	9.7	0.661	11.7
Philippines	2008	Developing	67.5	217	60	4.21	1.554768e+02	88	341	21.6	78	91	4.50	91	0.1	1.919466e+03	9.751864e+06	1.0	9.7	0.655	11.5
Philippines	2007	Developing	67.5	216	62	4.19	1.373275e+02	87	530	21.1	80	87	3.94	87	0.1	1.672685e+03	8.929349e+06	1.0	9.7	0.648	11.4
Philippines	2006	Developing	67.3	219	63	4.08	1.213625e+02	77	9	2.6	82	88	3.95	88	0.1	1.391772e+03	8.789419e+06	1.0	9.7	0.646	11.5
Philippines	2005	Developing	67.0	223	65	4.22	1.057307e+02	49	118	2.1	84	9	3.91	89	0.1	1.194697e+03	8.627424e+07	1.0	9.7	0.642	11.6
Philippines	2004	Developing	67.3	218	66	4.45	1.339905e+01	48	3025	19.6	86	85	3.23	88	0.1	1.793715e+02	8.467849e+07	1.0	9.7	0.636	11.6
Philippines	2003	Developing	67.2	217	67	4.44	9.011493e-01	52	10511	19.2	87	85	3.25	84	0.1	1.155320e+01	8.331954e+06	1.0	9.7	0.631	11.6
Philippines	2002	Developing	66.8	221	68	4.42	9.987220e-02	42	7003	18.7	89	77	2.79	79	0.1	1.681350e+00	8.135260e+05	1.0	9.7	0.625	11.4
Philippines	2001	Developing	66.8	221	68	4.54	6.902042e+01	45	7360	18.3	89	76	3.00	79	0.1	9.572874e+02	7.966532e+07	1.0	9.7	0.622	11.4
Philippines	2000	Developing	66.8	219	69	4.73	1.169704e+01	7	7120	17.8	90	74	3.21	78	0.1	1.389198e+02	7.799157e+07	1.0	9.6	0.618	11.4
Poland	2015	Developed	77.5	117	2	NA	0.000000e+00	96	0	61.7	2	92	NA	98	0.1	1.256599e+04	3.798641e+07	1.9	2.0	0.852	16.4
Poland	2014	Developed	77.3	12	2	10.71	2.438085e+02	96	0	61.1	2	94	6.35	98	0.1	1.434167e+04	3.811735e+06	1.9	2.1	0.850	16.4
Poland	2013	Developed	77.1	12	2	11.63	2.343533e+01	96	84	6.4	2	95	6.40	99	0.1	1.378549e+03	3.841960e+05	2.0	2.1	0.838	15.4
Poland	2012	Developed	76.8	125	2	10.81	2.300401e+02	97	71	59.7	2	95	6.62	99	0.1	1.314515e+04	3.863164e+06	2.0	2.1	0.834	15.3
Poland	2011	Developed	76.7	128	2	10.93	2.500774e+02	98	0	59.1	2	96	6.70	99	0.1	1.389319e+04	3.863255e+06	2.0	2.2	0.829	15.4
Poland	2010	Developed	76.3	13	2	10.59	2.204917e+02	98	13	58.4	2	96	6.88	99	0.1	1.259952e+04	3.842794e+06	2.1	2.2	0.822	15.1
Poland	2009	Developed	75.7	136	2	10.70	1.299160e+03	98	115	57.8	3	96	7.12	99	0.1	1.152759e+04	3.815163e+06	2.1	2.3	0.818	15.1
Poland	2008	Developed	75.5	14	2	11.40	1.571475e+01	98	0	57.2	3	96	6.88	99	0.1	1.414469e+02	3.812576e+07	2.2	2.3	0.813	15.0
Poland	2007	Developed	75.3	144	2	10.90	1.430425e+01	98	40	56.6	3	99	6.28	99	0.1	1.126319e+03	3.812560e+05	2.2	2.4	0.808	15.0
Poland	2006	Developed	75.2	144	2	10.40	9.145556e+00	98	120	56.0	3	99	6.17	99	0.1	9.477260e+01	3.814127e+07	2.3	2.4	0.803	15.0
Poland	2005	Developed	75.0	144	2	9.50	7.941503e+01	98	13	55.5	3	99	6.20	99	0.1	8.212516e+02	3.816545e+07	2.3	2.5	0.797	14.8
Poland	2004	Developed	74.9	143	2	9.19	6.480743e+02	98	11	55.0	3	99	6.19	99	0.1	6.681179e+03	3.818222e+07	2.4	2.5	0.800	15.5
Poland	2003	Developed	74.7	142	3	9.06	5.420235e+02	97	48	54.5	3	98	6.22	99	0.1	5.693524e+03	3.824570e+05	2.4	2.6	0.796	15.3
Poland	2002	Developed	74.5	145	3	8.02	5.160554e+02	98	34	54.0	3	98	6.32	99	0.1	5.196933e+03	3.823364e+06	2.5	2.6	0.790	15.0
Poland	2001	Developed	74.2	149	3	7.74	4.667383e+02	95	133	53.6	3	98	5.86	98	0.1	4.981199e+03	3.824876e+06	2.5	2.7	0.784	14.7
Poland	2000	Developed	73.7	153	3	8.40	4.124324e+02	99	77	53.1	4	98	5.50	98	0.1	4.492728e+03	3.825863e+07	2.5	2.8	0.777	14.6
Portugal	2015	Developed	81.1	76	0	NA	0.000000e+00	98	8	61.6	0	98	NA	98	0.1	1.922681e+03	1.358760e+05	0.7	0.5	0.841	16.6
Portugal	2014	Developed	89.0	78	0	9.88	2.712546e+02	98	0	6.9	0	98	9.50	98	0.1	2.277536e+03	1.416200e+04	0.7	0.5	0.837	16.8
Portugal	2013	Developed	86.0	79	0	10.00	2.698018e+03	98	1	6.2	0	98	9.55	98	0.1	2.161874e+04	1.457295e+06	0.7	0.5	0.827	16.3
Portugal	2012	Developed	83.0	81	0	11.96	3.314570e+02	98	23	59.5	0	98	9.74	98	0.1	2.577426e+03	1.514844e+06	0.7	0.5	0.824	16.3
Portugal	2011	Developed	82.0	85	0	11.92	3.108289e+03	97	2	58.8	0	97	1.70	97	0.1	2.319618e+04	1.557560e+05	0.7	0.5	0.818	16.2
Portugal	2010	Developed	79.6	88	0	12.25	3.119350e+03	97	5	58.1	0	97	1.44	98	0.1	2.253865e+04	1.573100e+04	0.7	0.5	0.812	16.0
Portugal	2009	Developed	79.3	9	0	12.03	3.371024e+02	96	3	57.3	0	96	1.42	96	0.1	2.363972e+03	1.568247e+06	0.7	0.5	0.809	16.0
Portugal	2008	Developed	79.0	92	0	12.35	3.652869e+03	97	1	56.5	0	97	9.90	97	0.1	2.481569e+04	1.558177e+06	0.7	0.5	0.804	15.8
Portugal	2007	Developed	78.7	94	0	12.57	3.333569e+02	97	0	55.7	0	96	9.62	97	0.1	2.278584e+03	1.542964e+06	0.7	0.5	0.797	15.4
Portugal	2006	Developed	78.5	96	0	13.11	2.884020e+03	97	0	54.9	0	97	9.67	97	0.1	1.982144e+04	1.522288e+06	0.7	0.5	0.793	15.4
Portugal	2005	Developed	77.7	11	0	13.33	2.813985e+03	94	7	54.1	1	93	9.98	93	0.1	1.878495e+04	1.533300e+04	0.7	0.6	0.790	15.4
Portugal	2004	Developed	78.0	99	0	13.45	2.761000e+02	94	5	53.3	1	95	9.84	95	0.1	1.845588e+03	1.483861e+06	0.7	0.6	0.792	15.9
Portugal	2003	Developed	77.3	15	0	14.21	2.283892e+03	94	8	52.5	1	96	9.54	99	0.1	1.577273e+04	1.458821e+06	0.7	0.6	0.789	15.8
Portugal	2002	Developed	77.2	17	1	12.00	1.904002e+03	82	8	51.7	1	96	9.15	98	0.1	1.288229e+04	1.419631e+06	0.8	0.6	0.788	15.9
Portugal	2001	Developed	76.9	11	1	12.22	1.657328e+03	7	0	5.9	1	96	9.10	97	0.1	1.172915e+04	1.362722e+06	0.8	0.6	0.782	15.7
Portugal	2000	Developed	76.6	11	1	11.89	1.673280e+02	58	45	5.1	1	96	9.14	96	0.1	1.152397e+03	1.289898e+06	0.8	0.6	0.777	15.5
Qatar	2015	Developing	78.2	68	0	NA	0.000000e+00	99	18	69.3	0	99	NA	99	0.1	6.634652e+04	NA	5.2	4.9	0.855	13.4
Qatar	2014	Developing	78.1	69	0	1.15	5.063513e+03	89	46	68.4	0	99	2.19	89	0.1	8.685271e+04	NA	5.2	4.8	0.854	13.4
Qatar	2013	Developing	77.9	7	0	1.20	5.150735e+02	97	73	67.7	0	99	2.15	97	0.1	8.834880e+03	NA	5.1	4.7	0.843	13.4
Qatar	2012	Developing	77.8	72	0	1.13	5.163329e+03	93	160	67.0	0	93	2.16	92	0.1	8.856482e+04	NA	5.1	4.7	0.837	13.4
Qatar	2011	Developing	77.5	74	0	1.16	4.409171e+03	93	101	66.5	0	92	1.93	93	0.1	8.594875e+04	NA	5.1	4.6	0.827	12.4
Qatar	2010	Developing	77.3	76	0	1.16	3.776849e+01	97	295	66.0	0	98	2.90	97	0.1	7.362278e+02	NA	5.0	4.6	0.825	12.0
Qatar	2009	Developing	77.0	79	0	1.11	3.688694e+03	99	112	65.6	0	98	2.63	99	0.1	6.147824e+04	NA	5.0	4.6	0.828	11.8
Qatar	2008	Developing	76.8	82	0	1.37	5.484143e+03	97	0	65.2	0	98	1.87	97	0.1	8.296737e+04	NA	5.0	4.5	0.825	11.7
Qatar	2007	Developing	76.7	83	0	1.24	4.418506e+01	94	361	65.1	0	97	2.31	94	0.1	6.756126e+02	NA	4.9	4.5	0.830	12.6
Qatar	2006	Developing	76.6	83	0	1.28	4.485953e+02	96	144	65.0	0	95	2.58	96	0.1	6.256559e+03	NA	4.9	4.5	0.835	13.7
Qatar	2005	Developing	76.6	84	0	1.18	4.582476e+03	97	74	65.1	0	98	3.10	97	0.1	5.148850e+04	NA	4.8	4.5	0.830	13.7
Qatar	2004	Developing	76.6	84	0	1.11	4.064744e+03	97	29	65.0	0	95	3.61	96	0.1	4.181835e+04	NA	4.8	4.5	0.826	13.5
Qatar	2003	Developing	76.5	85	0	1.00	4.049972e+03	93	24	64.7	0	93	4.14	92	0.1	3.417698e+04	NA	4.8	4.5	0.815	12.8
Qatar	2002	Developing	76.4	85	0	0.87	1.886783e+02	98	34	64.1	0	96	2.71	96	0.1	2.999655e+03	NA	4.8	4.5	0.807	12.2
Qatar	2001	Developing	76.3	87	0	0.76	1.700495e+02	93	23	63.3	0	93	2.56	93	0.1	2.843636e+03	NA	4.8	4.5	0.809	12.6
Qatar	2000	Developing	76.2	88	0	0.50	1.559287e+03	89	46	62.4	0	91	2.18	8	0.1	2.998629e+04	NA	4.8	4.5	0.808	13.0
Republic of Korea	2015	Developing	82.3	64	1	NA	0.000000e+00	98	7	31.7	2	98	NA	98	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2014	Developing	82.0	66	1	0.01	0.000000e+00	99	442	31.2	2	99	7.37	99	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2013	Developing	81.7	68	1	9.33	0.000000e+00	99	107	3.8	2	99	7.20	99	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2012	Developing	81.2	69	1	9.56	0.000000e+00	99	2	3.4	2	99	7.10	99	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2011	Developing	81.1	72	2	9.34	0.000000e+00	99	42	3.0	2	98	6.83	99	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2010	Developing	87.0	74	2	9.23	0.000000e+00	94	114	29.5	2	95	6.79	94	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2009	Developing	86.0	75	2	8.97	0.000000e+00	94	17	29.1	2	95	6.66	94	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2008	Developing	83.0	75	2	9.31	0.000000e+00	94	2	28.6	2	92	6.16	94	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2007	Developing	79.8	77	2	9.05	0.000000e+00	91	194	28.2	2	91	5.99	91	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2006	Developing	79.4	79	2	8.83	0.000000e+00	99	28	27.7	2	98	5.76	98	0.1	NA	NA	1.5	1.0	NA	NA
Republic of Korea	2005	Developing	78.7	84	2	9.03	0.000000e+00	99	7	27.2	3	96	5.33	96	0.1	NA	NA	1.6	1.0	NA	NA
Republic of Korea	2004	Developing	78.2	89	3	9.18	0.000000e+00	92	11	26.7	3	9	4.96	88	0.1	NA	NA	1.6	1.0	NA	NA
Republic of Korea	2003	Developing	77.6	95	3	9.66	0.000000e+00	91	33	26.2	3	94	4.93	97	0.1	NA	NA	1.6	1.0	NA	NA
Republic of Korea	2002	Developing	77.1	99	3	9.55	0.000000e+00	92	62	25.7	4	99	4.61	97	0.1	NA	NA	1.6	1.1	NA	NA
Republic of Korea	2001	Developing	76.7	17	3	11.45	0.000000e+00	89	23060	25.2	4	99	4.76	97	0.1	NA	NA	1.6	1.1	NA	NA
Republic of Korea	2000	Developing	76.0	116	4	10.33	0.000000e+00	93	32647	24.7	4	99	4.23	97	0.1	NA	NA	1.6	1.1	NA	NA
Republic of Moldova	2015	Developing	72.1	157	1	NA	0.000000e+00	88	0	53.4	1	88	NA	87	0.1	NA	NA	2.7	2.8	NA	NA
Republic of Moldova	2014	Developing	71.8	162	1	9.99	0.000000e+00	92	2	52.7	1	92	1.32	9	0.1	NA	NA	2.7	2.8	NA	NA
Republic of Moldova	2013	Developing	71.7	163	1	10.49	0.000000e+00	91	27	52.1	1	92	1.50	9	0.1	NA	NA	2.7	2.9	NA	NA
Republic of Moldova	2012	Developing	79.0	175	1	10.68	0.000000e+00	94	11	51.5	1	92	11.87	92	0.1	NA	NA	2.7	2.9	NA	NA
Republic of Moldova	2011	Developing	77.0	177	1	9.45	0.000000e+00	96	0	5.9	1	96	1.61	93	0.1	NA	NA	2.8	3.0	NA	NA
Republic of Moldova	2010	Developing	68.8	219	1	8.25	0.000000e+00	98	0	5.4	1	97	12.80	9	0.1	NA	NA	2.8	3.0	NA	NA
Republic of Moldova	2009	Developing	69.0	218	1	8.45	0.000000e+00	89	0	49.9	1	87	12.49	85	0.1	NA	NA	2.9	3.1	NA	NA
Republic of Moldova	2008	Developing	68.9	228	1	9.07	0.000000e+00	97	0	49.5	1	96	11.41	9	0.1	NA	NA	2.9	3.1	NA	NA
Republic of Moldova	2007	Developing	68.3	237	1	9.66	0.000000e+00	95	10	49.1	1	93	1.88	92	0.1	NA	NA	3.0	3.2	NA	NA
Republic of Moldova	2006	Developing	68.0	242	1	8.36	0.000000e+00	98	34	48.7	1	98	1.63	97	0.1	NA	NA	3.1	3.3	NA	NA
Republic of Moldova	2005	Developing	67.3	248	1	10.78	0.000000e+00	99	6	48.3	1	99	9.15	98	0.1	NA	NA	3.1	3.3	NA	NA
Republic of Moldova	2004	Developing	68.0	225	1	12.27	0.000000e+00	99	4	47.9	1	98	8.49	98	0.1	NA	NA	3.2	3.4	NA	NA
Republic of Moldova	2003	Developing	67.6	226	1	8.15	0.000000e+00	99	87	47.6	1	98	8.24	98	0.1	NA	NA	3.3	3.5	NA	NA
Republic of Moldova	2002	Developing	67.5	225	1	6.71	0.000000e+00	99	4929	47.2	1	98	8.31	97	0.1	NA	NA	3.4	3.6	NA	NA
Republic of Moldova	2001	Developing	67.6	228	1	10.98	0.000000e+00	94	457	46.8	1	98	7.00	97	0.1	NA	NA	3.5	3.6	NA	NA
Republic of Moldova	2000	Developing	67.1	235	1	9.89	0.000000e+00	92	687	46.5	2	97	6.65	95	0.1	NA	NA	3.6	3.7	NA	NA
Romania	2015	Developed	75.0	133	2	NA	0.000000e+00	9	4	6.7	2	89	NA	89	0.1	8.958789e+03	1.981548e+07	2.5	2.7	0.798	14.7
Romania	2014	Developed	74.8	135	2	0.01	1.576409e+00	94	59	59.9	2	94	5.57	94	0.1	1.227733e+01	1.998979e+06	2.6	2.8	0.797	14.7
Romania	2013	Developed	74.6	138	2	9.59	1.230748e+03	96	1159	59.2	2	88	5.60	92	0.1	9.585267e+03	1.998369e+07	2.7	2.9	0.794	14.7
Romania	2012	Developed	74.4	138	2	9.58	1.078358e+03	96	7450	58.4	2	92	5.48	91	0.1	8.558398e+03	2.583500e+04	2.8	3.0	0.797	15.3
Romania	2011	Developed	74.3	139	2	9.10	1.032589e+01	96	4189	57.7	2	89	5.53	89	0.1	9.227783e+01	2.147528e+06	2.9	3.1	0.798	15.7
Romania	2010	Developed	73.4	153	2	9.00	9.832518e+02	98	193	56.9	2	94	5.83	94	0.1	8.297484e+03	2.246871e+06	3.0	3.2	0.797	15.8
Romania	2009	Developed	73.1	158	2	10.40	1.496374e+01	95	8	56.3	3	95	5.56	95	0.1	8.221833e+02	2.367487e+06	3.0	3.3	0.795	15.4
Romania	2008	Developed	73.1	159	2	11.90	1.280806e+02	97	12	55.6	3	95	5.33	96	0.1	1.136474e+03	2.537875e+06	3.1	3.5	0.780	14.7
Romania	2007	Developed	72.9	154	3	10.60	9.191673e+02	99	353	55.0	3	96	5.21	96	0.1	8.214185e+03	2.882982e+06	3.2	3.6	0.766	14.1
Romania	2006	Developed	72.5	157	3	8.51	6.656428e+02	99	3196	54.4	4	97	5.60	97	0.1	5.828746e+03	2.119376e+06	3.2	3.7	0.755	13.7
Romania	2005	Developed	71.9	162	3	7.68	6.154031e+02	98	5043	53.9	4	97	5.47	97	0.1	4.676315e+03	2.131969e+07	3.3	3.8	0.745	13.4
Romania	2004	Developed	71.7	165	4	9.82	4.313250e+02	99	117	53.4	4	97	5.43	97	0.1	3.552925e+03	2.145175e+07	3.4	3.9	0.733	12.9
Romania	2003	Developed	71.1	174	4	8.78	3.751740e+02	98	9	52.9	4	97	5.30	97	0.1	2.774956e+03	2.157433e+07	3.5	4.0	0.722	12.5
Romania	2002	Developed	77.0	178	4	9.62	3.782275e+01	99	14	52.4	5	98	4.57	98	0.1	2.124874e+03	2.173496e+06	3.7	4.1	0.714	12.0
Romania	2001	Developed	78.0	179	4	9.78	1.801095e+02	98	10	51.9	5	99	4.36	99	0.1	1.839729e+03	2.213197e+06	3.8	4.2	0.708	11.7
Romania	2000	Developed	77.0	175	4	10.16	1.526369e+02	98	35	51.4	5	99	4.33	99	0.1	1.668163e+03	2.244297e+07	4.0	4.3	0.703	11.5
Russian Federation	2015	Developing	75.0	222	13	NA	0.000000e+00	97	843	6.5	15	97	NA	97	0.1	9.329298e+03	1.449687e+06	2.3	2.3	0.805	15.0
Russian Federation	2014	Developing	73.0	225	13	10.12	1.340554e+03	97	4711	59.9	15	97	7.70	97	0.1	1.412596e+04	1.438197e+08	2.3	2.3	0.803	14.9
Russian Federation	2013	Developing	70.0	229	14	10.58	1.529498e+03	97	2339	59.3	16	98	7.90	97	0.2	1.554368e+04	1.435691e+07	2.3	2.3	0.799	14.6
Russian Federation	2012	Developing	69.6	237	14	10.99	1.788226e+02	97	2123	58.7	16	98	6.88	97	0.3	1.515446e+04	1.432168e+07	2.3	2.4	0.792	14.3
Russian Federation	2011	Developing	69.4	242	14	11.04	1.847649e+02	97	629	58.1	17	97	6.61	97	0.3	1.421269e+04	1.429687e+07	2.3	2.4	0.785	14.0
Russian Federation	2010	Developing	68.4	256	15	11.05	1.628088e+02	97	129	57.5	17	98	6.83	97	0.2	1.674988e+03	1.428494e+08	2.3	2.5	0.773	13.7
Russian Federation	2009	Developing	68.2	261	15	11.21	1.370063e+02	98	101	57.0	18	98	7.44	98	0.3	8.562896e+03	1.427853e+08	2.3	2.5	0.776	14.0
Russian Federation	2008	Developing	67.5	278	16	12.04	1.617302e+02	98	27	56.6	18	98	6.22	98	0.3	1.163526e+04	1.427424e+07	2.3	2.5	0.769	13.9
Russian Federation	2007	Developing	67.3	282	16	12.19	1.102617e+01	98	173	56.1	19	98	5.38	98	0.3	9.112539e+02	1.428588e+06	2.4	2.6	0.761	13.8
Russian Federation	2006	Developing	66.4	3	17	11.79	1.225184e+01	98	1147	55.7	20	98	5.30	98	0.3	6.921944e+02	1.434953e+07	2.4	2.7	0.754	13.8
Russian Federation	2005	Developing	65.0	327	18	11.57	6.255082e+02	97	454	55.3	20	98	5.21	98	0.3	5.323474e+03	1.435185e+08	2.4	2.7	0.748	13.7
Russian Federation	2004	Developing	64.9	321	19	11.50	4.651559e+01	96	2444	55.0	21	98	5.19	97	0.3	4.123723e+02	1.446754e+06	2.5	2.8	0.741	13.6
Russian Federation	2003	Developing	64.6	322	20	11.32	3.332149e+02	94	3291	54.7	22	97	5.61	96	0.4	2.975133e+03	1.446483e+08	2.6	2.8	0.733	13.2
Russian Federation	2002	Developing	64.8	313	20	10.87	2.665417e+02	81	580	54.5	24	97	5.99	97	0.3	2.375594e+03	1.453646e+06	2.7	2.9	0.727	12.8
Russian Federation	2001	Developing	65.1	38	21	10.47	2.642527e+00	43	2072	54.2	25	97	5.67	96	0.3	2.136239e+01	1.459768e+07	2.8	3.0	0.720	12.5
Russian Federation	2000	Developing	65.0	37	22	10.18	2.244600e+02	NA	4800	54.0	26	97	5.42	96	0.2	1.771587e+03	1.465966e+08	2.9	3.0	0.709	12.1
Rwanda	2015	Developing	66.1	227	11	NA	0.000000e+00	98	1	21.4	15	99	NA	98	0.4	7.134840e+01	1.162955e+07	5.7	5.7	0.493	10.8
Rwanda	2014	Developing	65.7	23	12	0.01	7.549797e+00	98	10	2.8	16	98	7.53	98	0.4	7.656995e+01	1.134536e+07	5.8	5.8	0.488	10.8
Rwanda	2013	Developing	65.2	233	12	0.01	1.171091e+01	98	17	2.1	17	98	7.69	98	0.5	6.888769e+02	1.165151e+06	5.9	5.9	0.485	10.8
Rwanda	2012	Developing	64.6	239	13	0.01	9.774676e+00	98	75	19.5	18	98	7.68	98	0.7	6.787970e+02	1.788853e+06	6.1	6.1	0.475	10.5
Rwanda	2011	Developing	63.8	247	14	8.34	9.074569e+00	97	31	18.9	20	93	7.71	97	1.3	6.173176e+02	1.516710e+05	6.3	6.2	0.464	10.2
Rwanda	2010	Developing	62.8	26	16	7.92	6.378724e+01	97	121	18.3	23	93	7.91	97	2.3	5.634915e+02	1.246842e+06	6.5	6.3	0.454	10.0
Rwanda	2009	Developing	61.0	288	17	7.11	9.165615e+00	97	5	17.7	25	93	7.20	97	2.8	5.391538e+02	9.977446e+06	6.6	6.4	0.447	10.2
Rwanda	2008	Developing	68.0	282	18	6.39	6.615404e-01	97	6	17.1	28	97	7.66	97	3.7	5.668726e+00	9.781690e+05	6.7	6.6	0.438	10.4
Rwanda	2007	Developing	59.6	295	20	6.78	7.409772e+00	97	26	16.5	30	98	8.49	97	5.0	4.485334e+01	9.447420e+05	6.8	6.7	0.424	10.1
Rwanda	2006	Developing	57.6	328	22	6.88	7.847020e+01	99	494	15.9	34	99	1.20	99	6.2	3.423656e+02	9.265800e+04	6.8	6.8	0.404	9.3
Rwanda	2005	Developing	55.3	37	24	7.01	3.944667e+01	95	129	15.4	38	95	6.83	95	7.1	2.879319e+02	8.991735e+06	6.8	7.0	0.388	8.8
Rwanda	2004	Developing	53.4	397	26	6.75	3.193566e+01	89	386	14.9	42	89	6.24	89	7.7	2.369114e+02	8.818438e+06	6.9	7.1	0.371	8.2
Rwanda	2003	Developing	52.0	48	29	6.66	3.330286e+01	96	1064	14.5	46	96	6.34	96	8.1	2.126619e+02	8.683460e+05	7.0	7.3	0.359	7.6
Rwanda	2002	Developing	57.0	415	31	7.82	1.965978e+00	88	2738	14.1	50	85	4.18	88	8.0	1.965978e+02	8.536250e+05	7.2	7.4	0.343	7.2
Rwanda	2001	Developing	48.6	438	33	5.72	3.882538e-01	NA	896	13.7	54	76	4.38	77	8.1	2.156965e+01	8.329460e+05	7.4	7.5	0.332	7.1
Rwanda	2000	Developing	48.3	426	34	7.13	1.841792e+01	NA	2095	13.2	57	9	4.22	9	8.5	2.161727e+02	8.257300e+04	7.6	7.7	0.318	6.6
Saint Kitts and Nevis	2013	Developing	NA	NA	0	8.54	0.000000e+00	97	0	5.2	0	96	6.14	96	0.1	NA	NA	3.7	3.6	0.749	13.4
Saint Lucia	2015	Developing	75.2	138	0	NA	0.000000e+00	99	0	47.5	0	99	NA	99	0.1	NA	NA	4.3	4.3	0.735	13.1
Saint Lucia	2014	Developing	75.0	139	0	9.97	0.000000e+00	99	0	46.7	0	99	6.72	99	0.1	NA	NA	4.3	4.3	0.723	13.1
Saint Lucia	2013	Developing	74.8	141	0	9.73	0.000000e+00	99	0	45.9	0	99	7.85	99	0.1	NA	NA	4.3	4.3	0.734	13.1
Saint Lucia	2012	Developing	74.7	142	0	9.99	0.000000e+00	98	0	45.2	0	98	8.35	98	0.1	NA	NA	4.3	4.3	0.735	13.0
Saint Lucia	2011	Developing	74.6	143	0	10.43	0.000000e+00	99	0	44.5	0	99	7.58	99	0.1	NA	NA	4.3	4.3	0.733	12.9
Saint Lucia	2010	Developing	74.2	147	0	10.87	0.000000e+00	97	0	43.8	0	97	8.10	97	0.1	NA	NA	4.3	4.3	0.724	12.8
Saint Lucia	2009	Developing	74.3	147	0	11.09	0.000000e+00	95	0	43.0	0	95	8.12	95	0.1	NA	NA	4.3	4.4	0.717	12.7
Saint Lucia	2008	Developing	74.1	149	0	12.09	0.000000e+00	96	0	42.2	0	96	7.43	96	0.1	NA	NA	4.3	4.4	0.710	12.6
Saint Lucia	2007	Developing	73.9	151	0	12.68	0.000000e+00	99	0	41.3	0	99	6.81	99	0.1	NA	NA	4.3	4.4	0.707	12.8
Saint Lucia	2006	Developing	73.5	155	0	13.45	0.000000e+00	85	0	4.4	0	85	6.37	85	0.1	NA	NA	4.3	4.4	0.694	12.4
Saint Lucia	2005	Developing	73.1	16	0	12.32	0.000000e+00	95	0	39.6	0	95	6.25	95	0.2	NA	NA	4.4	4.4	0.689	12.2
Saint Lucia	2004	Developing	72.6	166	0	11.93	0.000000e+00	91	0	39.0	0	91	6.20	91	0.2	NA	NA	4.4	4.4	0.686	12.3
Saint Lucia	2003	Developing	72.2	171	0	12.55	0.000000e+00	84	0	38.4	0	91	6.10	9	0.2	NA	NA	4.4	4.4	0.684	12.4
Saint Lucia	2002	Developing	72.0	174	0	11.85	0.000000e+00	14	0	37.9	0	9	6.33	74	0.1	NA	NA	4.4	4.5	0.681	12.5
Saint Lucia	2001	Developing	71.8	178	0	12.03	0.000000e+00	NA	0	37.3	0	99	6.10	99	0.3	NA	NA	4.5	4.5	0.684	12.6
Saint Lucia	2000	Developing	71.6	183	0	11.69	0.000000e+00	NA	0	36.8	0	7	5.53	7	0.4	NA	NA	4.5	4.5	0.000	12.8
Saint Vincent and the Grenadines	2015	Developing	73.2	156	0	NA	0.000000e+00	98	0	54.1	0	97	NA	98	0.1	NA	NA	3.5	3.4	0.720	13.3
Saint Vincent and the Grenadines	2014	Developing	73.1	157	0	7.01	0.000000e+00	98	0	53.1	0	97	8.63	98	0.1	NA	NA	3.5	3.4	0.720	13.3
Saint Vincent and the Grenadines	2013	Developing	72.7	161	0	7.07	0.000000e+00	97	0	52.2	0	97	5.21	97	0.1	NA	NA	3.5	3.4	0.717	13.3
Saint Vincent and the Grenadines	2012	Developing	72.8	159	0	6.93	0.000000e+00	96	0	51.2	0	96	8.48	96	0.1	NA	NA	3.5	3.5	0.713	13.3
Saint Vincent and the Grenadines	2011	Developing	72.7	16	0	7.02	0.000000e+00	96	0	5.3	0	96	4.99	96	0.1	NA	NA	3.5	3.5	0.712	13.3
Saint Vincent and the Grenadines	2010	Developing	72.5	162	0	7.00	0.000000e+00	99	0	49.3	0	99	4.71	99	0.1	NA	NA	3.5	3.5	0.711	13.3
Saint Vincent and the Grenadines	2009	Developing	72.3	165	0	6.85	0.000000e+00	99	0	48.4	0	99	5.13	99	0.2	NA	NA	3.6	3.5	0.709	13.3
Saint Vincent and the Grenadines	2008	Developing	72.1	167	0	6.92	0.000000e+00	99	0	47.5	0	99	4.70	99	0.3	NA	NA	3.6	3.6	0.704	13.3
Saint Vincent and the Grenadines	2007	Developing	71.9	17	0	5.89	0.000000e+00	99	0	46.6	0	99	3.92	99	0.3	NA	NA	3.6	3.6	0.702	13.3
Saint Vincent and the Grenadines	2006	Developing	71.7	173	0	5.93	0.000000e+00	99	0	45.7	0	99	3.88	99	0.3	NA	NA	3.7	3.6	0.695	13.3
Saint Vincent and the Grenadines	2005	Developing	71.4	177	0	6.04	0.000000e+00	99	0	44.7	0	93	3.66	99	0.2	NA	NA	3.7	3.7	0.692	13.3
Saint Vincent and the Grenadines	2004	Developing	71.2	181	0	5.42	0.000000e+00	99	0	43.8	0	99	3.72	99	0.4	NA	NA	3.8	3.7	0.689	13.2
Saint Vincent and the Grenadines	2003	Developing	71.0	184	0	5.10	0.000000e+00	31	0	42.9	0	99	3.91	99	0.4	NA	NA	3.8	3.8	0.682	13.0
Saint Vincent and the Grenadines	2002	Developing	79.0	186	0	4.94	0.000000e+00	NA	0	42.0	0	99	3.93	99	0.4	NA	NA	3.9	3.8	0.677	12.9
Saint Vincent and the Grenadines	2001	Developing	79.0	186	0	4.73	0.000000e+00	NA	0	41.0	0	99	3.64	99	0.7	NA	NA	3.9	3.9	0.673	12.8
Saint Vincent and the Grenadines	2000	Developing	79.0	186	0	4.80	0.000000e+00	NA	0	4.1	0	99	3.73	98	0.7	NA	NA	4.0	3.9	0.000	12.7
Samoa	2015	Developing	74.0	125	0	NA	0.000000e+00	59	0	74.7	0	61	NA	66	0.1	4.149363e+03	1.937590e+05	0.2	0.1	0.702	12.9
Samoa	2014	Developing	73.8	128	0	0.01	6.602778e+02	56	0	74.3	0	58	7.22	63	0.1	4.178973e+03	1.922900e+04	0.2	0.1	0.701	12.9
Samoa	2013	Developing	73.6	131	0	0.01	6.983523e+02	6	0	73.8	0	62	6.91	67	0.1	4.219651e+03	1.975700e+04	0.2	0.1	0.700	12.9
Samoa	2012	Developing	73.2	136	0	0.01	4.920552e+02	64	1	73.4	0	62	5.20	64	0.1	4.234554e+03	1.891940e+05	0.2	0.1	0.698	12.9
Samoa	2011	Developing	73.0	139	0	2.15	5.587206e+02	58	0	72.9	0	6	5.80	65	0.1	3.942983e+03	1.876650e+05	0.2	0.1	0.693	12.9
Samoa	2010	Developing	72.6	144	0	3.01	4.347941e+02	57	8	72.5	0	57	5.70	62	0.1	3.453487e+03	1.862500e+04	0.2	0.2	0.690	12.9
Samoa	2009	Developing	76.0	172	0	2.88	4.212368e+01	44	0	72.0	0	45	5.40	49	0.1	3.351128e+02	1.848260e+05	0.2	0.2	0.691	12.9
Samoa	2008	Developing	72.5	146	0	3.97	4.735261e+01	12	0	71.4	0	54	4.52	26	0.1	3.598222e+02	1.835260e+05	0.2	0.2	0.688	12.9
Samoa	2007	Developing	72.2	149	0	3.85	4.773638e+01	46	0	7.9	0	49	5.25	53	0.1	3.225431e+02	1.822860e+05	0.2	0.2	0.682	12.9
Samoa	2006	Developing	72.0	153	0	3.52	4.022856e+01	35	0	7.3	0	37	4.68	39	0.1	2.879639e+02	1.819400e+04	0.2	0.2	0.677	12.7
Samoa	2005	Developing	71.6	16	0	3.63	2.874671e+02	41	0	69.7	0	55	4.47	49	0.1	2.571262e+03	1.799290e+05	0.2	0.2	0.671	12.6
Samoa	2004	Developing	71.4	162	0	3.62	3.106118e+02	54	0	68.9	0	26	4.45	55	0.1	2.351338e+03	1.787810e+05	0.2	0.2	0.665	12.4
Samoa	2003	Developing	79.0	169	0	4.17	2.499717e+01	83	0	68.2	0	82	4.71	83	0.1	1.972942e+02	1.776620e+05	0.2	0.2	0.659	12.3
Samoa	2002	Developing	76.0	174	0	3.30	2.081688e+02	86	0	67.4	0	85	5.10	86	0.1	1.631417e+03	1.765820e+05	0.2	0.2	0.653	12.1
Samoa	2001	Developing	75.0	175	0	3.43	1.994118e+02	89	0	66.5	0	83	5.16	85	0.1	1.555475e+03	1.755660e+05	0.2	0.2	0.645	12.0
Samoa	2000	Developing	72.0	18	0	3.00	2.125430e+01	89	0	65.6	0	94	5.31	95	0.1	1.546892e+02	1.746100e+04	0.2	0.2	0.640	12.1
San Marino	2013	Developing	NA	NA	0	0.01	0.000000e+00	69	0	NA	0	69	6.50	69	0.1	NA	NA	NA	NA	NA	15.1
Sao Tome and Principe	2015	Developing	67.5	19	0	NA	0.000000e+00	96	0	3.9	0	96	NA	96	0.2	1.624640e+03	1.955530e+05	5.5	5.3	0.565	11.2
Sao Tome and Principe	2014	Developing	67.3	191	0	0.01	2.257308e+02	95	0	3.1	0	95	8.35	95	0.2	1.821879e+03	1.912660e+05	5.6	5.4	0.562	11.1
Sao Tome and Principe	2013	Developing	67.1	192	0	0.01	2.006601e+02	97	0	29.3	0	97	9.76	97	0.2	1.619533e+03	1.874500e+04	5.7	5.5	0.559	11.0
Sao Tome and Principe	2012	Developing	66.9	194	0	0.01	8.198048e+00	96	0	28.5	0	96	8.60	96	0.5	1.389500e+02	1.828890e+05	5.9	5.7	0.553	10.8
Sao Tome and Principe	2011	Developing	66.6	198	0	5.69	7.495401e+00	96	0	27.7	0	96	5.44	96	0.5	1.343262e+02	1.788000e+03	6.0	5.9	0.546	10.6
Sao Tome and Principe	2010	Developing	66.2	24	0	5.58	6.304033e+01	98	0	26.9	0	98	5.24	98	0.5	1.129755e+03	1.747760e+05	6.1	6.0	0.542	10.6
Sao Tome and Principe	2009	Developing	65.8	21	0	4.13	1.113609e+01	98	0	26.2	0	99	6.65	98	0.9	1.995715e+02	1.781300e+04	6.3	6.2	0.533	10.1
Sao Tome and Principe	2008	Developing	65.4	215	0	4.36	6.285659e+01	99	0	25.4	0	99	5.66	99	0.9	1.126462e+03	1.669130e+05	6.5	6.4	0.531	10.4
Sao Tome and Principe	2007	Developing	65.1	217	0	4.14	4.993698e+01	87	0	24.7	0	98	7.44	97	1.2	8.949280e+02	1.631100e+04	6.7	6.6	0.527	10.3
Sao Tome and Principe	2006	Developing	64.7	22	0	5.46	4.708931e+01	75	0	24.0	0	97	7.84	97	1.2	8.438945e+02	1.593280e+05	6.9	6.8	0.521	10.2
Sao Tome and Principe	2005	Developing	64.3	222	0	5.27	1.081391e+01	96	0	23.4	0	97	1.40	97	1.6	8.186157e+01	1.556300e+04	7.0	7.0	0.514	10.0
Sao Tome and Principe	2004	Developing	63.8	224	0	5.78	9.013494e+00	7	0	22.8	0	99	9.94	96	1.6	6.933457e+02	1.519690e+05	7.2	7.2	0.509	9.8
Sao Tome and Principe	2003	Developing	63.4	225	0	6.54	8.642744e+01	43	0	22.2	0	94	11.12	94	1.6	6.493422e+02	1.483720e+05	7.4	7.4	0.504	9.7
Sao Tome and Principe	2002	Developing	63.1	226	0	5.80	5.080181e+01	NA	0	21.7	0	92	1.21	92	1.4	5.558185e+02	1.448890e+05	7.6	7.6	0.501	9.6
Sao Tome and Principe	2001	Developing	62.8	225	0	5.02	3.841229e+00	NA	0	21.1	0	9	1.28	92	1.5	5.121638e+01	1.416220e+05	7.8	7.8	0.497	9.4
Sao Tome and Principe	2000	Developing	62.6	224	0	5.07	0.000000e+00	NA	0	2.7	0	87	8.86	82	1.5	NA	1.386600e+04	8.0	8.1	0.488	9.3
Saudi Arabia	2015	Developing	74.5	88	7	NA	0.000000e+00	98	219	68.2	8	97	NA	98	0.1	2.732862e+03	NA	7.8	7.6	0.845	16.1
Saudi Arabia	2014	Developing	74.4	88	7	0.09	2.017643e+03	98	154	67.3	9	98	4.68	98	0.1	2.457543e+04	NA	7.7	7.5	0.841	15.8
Saudi Arabia	2013	Developing	74.3	89	8	0.09	2.047113e+03	98	1164	66.4	9	98	4.25	98	0.1	2.493439e+04	NA	7.6	7.5	0.830	15.2
Saudi Arabia	2012	Developing	74.1	9	8	0.09	1.963808e+02	98	294	65.6	9	98	3.86	98	0.1	2.533946e+03	NA	7.5	7.4	0.818	14.5
Saudi Arabia	2011	Developing	73.9	92	8	0.09	1.735756e+02	98	362	64.7	9	98	3.57	98	0.1	2.377747e+03	NA	7.4	7.4	0.804	13.9
Saudi Arabia	2010	Developing	73.7	94	8	0.09	1.197946e+03	98	334	63.9	9	98	3.49	98	0.1	1.925959e+04	NA	7.3	7.4	0.792	13.3
Saudi Arabia	2009	Developing	73.4	97	8	0.09	1.179228e+02	98	82	63.1	10	98	4.90	98	0.1	1.694293e+03	NA	7.3	7.3	0.787	13.0
Saudi Arabia	2008	Developing	73.3	98	9	0.09	1.550667e+01	98	158	62.4	10	98	2.87	98	0.1	2.378323e+02	NA	7.2	7.3	0.779	12.8
Saudi Arabia	2007	Developing	73.2	99	9	0.10	1.307890e+03	96	4648	61.6	10	96	3.49	96	0.1	1.647217e+04	NA	7.2	7.3	0.773	12.7
Saudi Arabia	2006	Developing	73.2	1	9	0.08	1.395455e+03	96	807	6.9	10	96	3.55	96	0.1	1.533467e+04	NA	7.2	7.3	0.767	12.5
Saudi Arabia	2005	Developing	73.1	11	9	0.05	1.117048e+03	97	373	6.2	10	96	3.42	96	0.1	1.373983e+04	NA	7.2	7.3	0.761	12.4
Saudi Arabia	2004	Developing	73.1	12	9	0.06	8.164795e+02	96	1880	59.4	11	96	3.58	96	0.1	1.113887e+04	NA	7.2	7.3	0.754	12.3
Saudi Arabia	2003	Developing	73.0	13	9	0.05	8.323689e+02	95	1208	58.5	11	95	4.20	95	0.1	9.567458e+03	NA	7.2	7.3	0.747	12.2
Saudi Arabia	2002	Developing	72.9	15	10	0.05	6.880973e+02	97	311	57.7	11	95	4.28	95	0.1	8.655312e+03	NA	7.3	7.3	0.745	12.1
Saudi Arabia	2001	Developing	72.8	17	10	0.05	7.104952e+02	95	155	56.9	12	97	4.49	97	0.1	8.643494e+03	NA	7.3	7.3	0.742	12.0
Saudi Arabia	2000	Developing	72.6	11	10	0.05	7.821800e+02	93	0	56.2	12	95	4.24	95	0.1	9.126954e+03	NA	7.3	7.4	0.737	11.8
Senegal	2015	Developing	66.7	188	19	NA	0.000000e+00	89	58	24.3	26	85	NA	89	0.3	9.872561e+01	1.497699e+07	9.5	9.3	0.491	9.5
Senegal	2014	Developing	66.4	192	19	0.26	1.280529e+01	89	32	23.8	27	85	4.66	89	0.3	1.524439e+02	1.454611e+07	9.7	9.5	0.483	9.1
Senegal	2013	Developing	66.0	196	20	0.26	1.183853e+01	92	17	23.2	28	89	4.51	92	0.3	1.489124e+02	1.412320e+05	9.9	9.7	0.474	8.7
Senegal	2012	Developing	65.6	2	20	0.28	1.020659e+01	91	46	22.7	29	83	4.31	91	0.4	1.364518e+02	1.373513e+06	1.0	9.9	0.463	8.3
Senegal	2011	Developing	64.9	26	20	0.32	1.431052e+00	92	18	22.2	31	89	4.42	92	0.4	1.825321e+01	1.339100e+04	1.2	1.1	0.455	7.9
Senegal	2010	Developing	64.3	212	21	0.28	1.020072e+00	89	428	21.7	32	76	4.62	89	0.4	1.163138e+01	1.291623e+07	1.4	1.3	0.449	7.7
Senegal	2009	Developing	63.5	219	21	0.30	1.177478e+00	86	999	21.2	33	83	4.81	86	0.5	1.256646e+01	1.255917e+06	1.6	1.5	0.444	7.5
Senegal	2008	Developing	62.8	225	22	0.28	1.088331e+00	88	6	2.8	34	87	4.94	88	0.6	1.133678e+01	1.223957e+06	1.8	1.7	0.435	7.1
Senegal	2007	Developing	62.1	23	22	0.32	8.309153e+00	94	11	2.3	36	93	4.72	94	0.7	9.539785e+01	1.187356e+07	11.0	1.9	0.425	6.8
Senegal	2006	Developing	61.3	236	23	0.34	1.043023e+01	89	3	19.9	38	89	5.44	89	0.7	8.983830e+01	1.155676e+07	11.2	11.1	0.422	6.6
Senegal	2005	Developing	65.0	242	23	0.33	9.603725e+01	84	0	19.5	40	84	5.35	84	0.7	7.738699e+02	1.125127e+07	11.4	11.3	0.415	6.4
Senegal	2004	Developing	59.7	247	24	0.35	6.602236e+01	54	31	19.1	42	87	5.68	87	0.7	7.335818e+02	1.955944e+06	11.6	11.5	0.408	6.2
Senegal	2003	Developing	59.0	251	25	0.33	6.221978e+01	NA	1519	18.7	44	73	5.40	73	0.7	6.427663e+02	1.679900e+04	11.8	11.7	0.401	5.9
Senegal	2002	Developing	58.4	252	25	0.36	4.973511e+01	NA	18184	18.3	47	6	5.60	6	0.7	5.132623e+02	1.396861e+06	12.0	11.9	0.397	5.7
Senegal	2001	Developing	57.9	251	26	0.34	6.064221e+00	NA	24789	17.9	49	49	4.98	52	0.6	4.812874e+02	1.134497e+06	12.1	12.1	0.381	5.4
Senegal	2000	Developing	57.5	25	27	0.29	5.397368e+00	NA	5839	17.5	50	49	4.63	52	0.5	4.734534e+02	9.884520e+05	12.3	12.3	0.378	5.2
Serbia	2015	Developing	75.6	121	1	NA	0.000000e+00	94	383	6.0	1	95	NA	95	0.1	5.237255e+03	7.953830e+05	2.0	2.0	0.775	14.4
Serbia	2014	Developing	75.4	123	1	9.09	8.617208e+00	92	37	59.4	1	93	1.37	93	0.1	6.217322e+01	7.135760e+05	2.1	2.1	0.771	14.3
Serbia	2013	Developing	75.3	122	1	9.16	8.806403e+02	91	1	58.9	1	97	1.12	95	0.1	6.353826e+03	7.164132e+06	2.1	2.1	0.766	14.1
Serbia	2012	Developing	74.9	126	1	9.38	7.425110e+02	97	0	58.3	1	93	9.89	91	0.1	5.659382e+03	7.199770e+05	2.1	2.1	0.767	14.0
Serbia	2011	Developing	74.6	127	1	9.56	9.153191e+02	94	370	57.7	1	94	9.72	94	0.1	6.423292e+03	7.234990e+05	2.2	2.2	0.757	13.5
Serbia	2010	Developing	74.4	128	1	9.65	7.744397e+02	89	20	57.0	1	91	1.90	91	0.1	5.411877e+03	7.291436e+06	2.2	2.3	0.755	13.6
Serbia	2009	Developing	74.1	131	1	9.85	8.208109e+02	93	1	56.4	1	97	9.90	95	0.1	5.821354e+03	7.328700e+04	2.3	2.3	0.754	13.6
Serbia	2008	Developing	74.0	132	1	9.54	9.633238e+01	93	2	55.8	1	95	1.50	95	0.1	6.717739e+02	7.352220e+05	2.3	2.4	0.749	13.5
Serbia	2007	Developing	73.8	132	1	9.30	7.728700e+02	99	201	55.1	1	93	1.20	94	0.1	5.458122e+03	7.381579e+06	2.4	2.4	0.743	13.5
Serbia	2006	Developing	73.6	133	1	8.58	5.418243e+02	93	2	54.5	1	97	8.99	92	0.1	4.129759e+03	7.411569e+06	2.5	2.5	0.739	13.4
Serbia	2005	Developing	73.0	135	1	9.60	5.031116e+02	65	2	53.9	1	98	8.70	98	0.1	3.528132e+03	7.447690e+05	2.5	2.6	0.730	13.2
Serbia	2004	Developing	73.0	134	1	7.42	4.627077e+02	89	11	53.3	1	96	8.24	88	0.1	3.331229e+03	7.463157e+06	2.6	2.6	0.720	13.1
Serbia	2003	Developing	73.0	134	1	7.25	3.897515e+02	NA	15	52.8	1	89	8.13	89	0.1	2.832497e+03	7.485910e+05	2.7	2.7	0.715	13.0
Serbia	2002	Developing	72.9	133	1	6.95	2.926142e+02	NA	63	52.2	1	95	8.90	95	0.1	2.149994e+03	7.496522e+06	2.7	2.8	0.715	13.2
Serbia	2001	Developing	73.1	135	1	7.53	2.225066e+02	NA	35	51.7	1	93	6.89	93	0.1	1.634876e+03	7.534330e+05	2.8	2.8	0.709	13.1
Serbia	2000	Developing	72.6	141	1	7.38	1.185928e+01	NA	38	51.2	2	98	6.53	95	0.1	8.713653e+01	7.516346e+06	2.8	2.9	0.702	13.0
Seychelles	2015	Developing	73.2	168	0	NA	0.000000e+00	98	0	37.4	0	97	NA	97	0.1	1.539464e+03	9.341900e+04	5.7	6.0	0.781	14.1
Seychelles	2014	Developing	73.0	17	0	0.01	1.511046e+02	99	0	36.2	0	99	3.37	99	0.1	1.557779e+03	9.135900e+04	5.7	6.0	0.766	13.2
Seychelles	2013	Developing	72.9	172	0	0.01	1.521673e+03	99	0	35.5	0	98	3.58	98	0.1	1.568735e+04	8.994900e+04	5.7	6.1	0.762	13.5
Seychelles	2012	Developing	72.7	174	0	0.01	1.772634e+02	99	0	34.8	0	98	4.80	98	0.1	1.284517e+04	8.833000e+03	5.7	6.1	0.755	13.5
Seychelles	2011	Developing	72.6	177	0	9.72	1.121476e+03	99	0	34.2	0	99	3.38	99	0.1	1.218995e+04	8.744100e+04	5.7	6.1	0.744	13.3
Seychelles	2010	Developing	72.4	18	0	6.51	1.649232e+01	99	0	33.5	0	99	3.59	99	0.1	1.846845e+02	8.977000e+03	5.8	6.2	0.740	13.2
Seychelles	2009	Developing	72.3	182	0	4.94	7.522566e+01	99	0	32.4	0	99	2.64	99	0.1	9.769566e+02	8.729800e+04	5.8	6.2	0.739	13.2
Seychelles	2008	Developing	72.2	184	0	6.33	7.018526e+02	99	0	31.8	0	99	2.64	99	0.1	1.112286e+04	8.695600e+04	5.9	6.3	0.739	13.2
Seychelles	2007	Developing	72.2	185	0	8.12	9.164742e+02	99	1	31.2	0	99	3.30	99	0.1	1.215483e+04	8.533000e+03	5.9	6.3	0.733	13.1
Seychelles	2006	Developing	72.2	185	0	8.12	1.023739e+02	99	10	3.7	0	99	3.73	99	0.1	1.214400e+03	8.460000e+02	5.9	6.3	0.728	13.1
Seychelles	2005	Developing	72.2	185	0	7.82	2.146531e+01	99	0	3.1	0	99	3.91	99	0.1	1.192517e+03	8.285800e+04	6.0	6.4	0.712	12.1
Seychelles	2004	Developing	72.1	186	0	7.91	1.294325e+01	99	0	29.2	0	99	4.17	99	0.1	1.176659e+03	8.247500e+04	6.0	6.4	0.715	12.3
Seychelles	2003	Developing	72.1	185	0	7.41	8.431187e+02	99	0	28.7	0	99	4.64	99	0.1	8.524961e+03	8.278100e+04	6.1	6.5	0.713	12.1
Seychelles	2002	Developing	72.1	186	0	11.15	5.623602e+02	99	0	28.1	0	99	4.21	99	0.1	8.331262e+03	8.372300e+04	6.1	6.6	0.712	12.1
Seychelles	2001	Developing	72.0	187	0	6.72	6.437036e+02	96	0	27.6	0	96	4.45	96	0.1	7.663138e+03	8.122000e+03	6.2	6.6	0.714	12.2
Seychelles	2000	Developing	71.8	188	0	8.24	6.017608e+02	98	0	27.1	0	98	4.62	98	0.1	7.578852e+03	8.113100e+04	6.3	6.7	0.000	12.3
Sierra Leone	2015	Developing	51.0	413	22	NA	0.000000e+00	86	607	24.4	30	86	NA	86	0.5	5.875382e+02	7.237250e+05	7.4	7.3	0.431	9.5
Sierra Leone	2014	Developing	48.1	463	23	0.01	1.443286e+00	83	1006	23.8	32	83	11.90	83	0.6	7.843948e+01	7.791620e+05	7.5	7.4	0.426	9.5
Sierra Leone	2013	Developing	54.0	47	23	0.01	1.321464e+00	92	15	23.3	33	92	11.59	92	0.8	7.181870e+01	6.922790e+05	7.7	7.6	0.413	9.3
Sierra Leone	2012	Developing	49.7	411	25	0.01	5.456034e+01	91	678	22.7	35	91	11.24	91	0.9	5.618984e+02	6.766130e+05	7.9	7.8	0.401	9.1
Sierra Leone	2011	Developing	48.9	418	26	3.78	5.466592e+01	89	1865	22.2	38	88	11.98	89	1.3	4.455250e+02	6.611692e+06	8.1	8.0	0.392	8.9
Sierra Leone	2010	Developing	48.1	424	27	3.84	5.347717e+00	86	1089	21.7	40	84	1.32	86	1.6	4.512842e+01	6.458720e+05	8.3	8.2	0.384	8.7
Sierra Leone	2009	Developing	47.1	433	28	3.97	4.983713e+01	84	31	21.2	42	81	13.13	84	1.7	3.945932e+02	6.312600e+04	8.5	8.4	0.375	8.5
Sierra Leone	2008	Developing	46.2	441	29	3.91	5.379607e+00	77	44	2.7	44	75	1.29	77	1.9	4.637592e+01	6.165372e+06	8.7	8.7	0.367	8.3
Sierra Leone	2007	Developing	45.3	45	29	3.86	4.557109e+01	63	0	2.2	45	63	1.12	64	2.2	3.588275e+02	6.154170e+05	8.9	8.9	0.357	8.2
Sierra Leone	2006	Developing	44.3	464	30	3.80	3.800076e+01	NA	33	19.7	46	65	1.68	64	2.2	3.223135e+02	5.848692e+06	9.1	9.1	0.348	8.0
Sierra Leone	2005	Developing	43.3	48	30	3.83	4.208893e+01	NA	29	19.2	47	67	12.25	65	2.2	2.876892e+02	5.658379e+06	9.3	9.3	0.341	7.8
Sierra Leone	2004	Developing	42.3	496	30	3.99	3.852455e+01	NA	7	18.8	47	69	11.66	65	2.1	2.631458e+02	5.439695e+06	9.5	9.5	0.332	7.6
Sierra Leone	2003	Developing	41.5	57	30	4.07	3.861473e+01	NA	586	18.4	47	66	11.69	73	1.9	2.637618e+02	5.199549e+06	9.7	9.8	0.322	7.4
Sierra Leone	2002	Developing	48.0	513	30	4.06	3.659115e+01	NA	568	17.9	48	54	11.96	53	1.7	2.499395e+02	4.957216e+06	9.9	1.0	0.306	7.2
Sierra Leone	2001	Developing	41.0	519	30	4.21	3.334691e+01	NA	649	17.5	48	38	11.83	38	1.5	2.277795e+02	4.739147e+06	1.1	1.2	0.302	7.0
Sierra Leone	2000	Developing	39.0	533	29	3.97	2.039568e+01	NA	3575	17.2	48	46	13.63	44	1.2	1.393148e+02	4.564297e+06	1.3	1.4	0.292	6.7
Singapore	2015	Developed	83.1	55	0	1.79	0.000000e+00	96	0	33.2	0	96	NA	96	0.1	5.362974e+04	NA	2.2	2.2	0.924	15.4
Singapore	2014	Developed	82.9	56	0	1.83	7.971646e+03	96	0	32.9	0	96	4.92	96	0.1	5.633672e+04	NA	2.2	2.2	0.922	15.4
Singapore	2013	Developed	82.7	57	0	1.83	7.143441e+02	97	138	32.7	0	97	4.53	97	0.1	5.629189e+03	NA	2.2	2.2	0.920	15.4
Singapore	2012	Developed	82.5	59	0	1.89	6.041859e+03	97	42	32.4	0	97	4.22	97	0.1	5.443116e+04	NA	2.2	2.1	0.917	15.4
Singapore	2011	Developed	82.2	6	0	1.80	6.380001e+02	96	148	32.1	0	96	3.93	96	0.1	5.316668e+04	NA	2.1	2.1	0.911	15.2
Singapore	2010	Developed	82.0	61	0	1.84	4.540544e+03	96	50	31.8	0	96	3.96	96	0.1	4.656968e+04	NA	2.1	2.1	0.889	14.5
Singapore	2009	Developed	81.7	62	0	1.73	4.629307e+02	96	16	31.5	0	97	4.27	97	0.1	3.857756e+04	NA	2.1	2.1	0.887	14.4
Singapore	2008	Developed	81.4	64	0	1.70	3.404131e+03	97	18	31.2	0	97	3.91	97	0.1	3.972148e+04	NA	2.1	2.1	0.880	14.2
Singapore	2007	Developed	81.1	65	0	1.60	3.082974e+03	96	15	3.9	0	97	3.46	97	0.1	3.922358e+04	NA	2.1	2.0	0.873	14.1
Singapore	2006	Developed	87.0	66	0	1.55	2.639377e+03	95	23	3.5	0	95	3.66	95	0.1	3.357986e+04	NA	2.1	2.0	0.839	13.9
Singapore	2005	Developed	82.0	69	0	1.49	2.356731e+03	96	33	3.2	0	96	3.74	96	0.1	2.986985e+04	NA	2.1	2.0	0.821	12.6
Singapore	2004	Developed	79.7	71	0	1.45	2.042482e+02	94	96	29.9	0	95	3.17	95	0.1	2.745271e+03	NA	2.1	2.0	0.820	12.7
Singapore	2003	Developed	79.3	73	0	1.43	2.263068e+03	95	33	29.6	0	96	3.63	96	0.1	2.357363e+04	NA	2.1	2.0	0.819	12.7
Singapore	2002	Developed	79.0	74	0	2.16	1.420990e+02	95	211	29.2	0	94	2.84	94	0.1	2.216833e+03	NA	2.1	2.0	0.818	12.6
Singapore	2001	Developed	78.7	76	0	2.08	1.003367e+03	95	408	28.9	0	95	2.37	96	0.1	2.157778e+04	NA	2.1	2.0	0.820	12.7
Singapore	2000	Developed	78.3	78	0	2.03	1.855829e+03	97	141	28.5	0	98	2.71	98	0.1	2.379268e+04	NA	2.1	2.0	0.810	12.5
Slovakia	2015	Developed	76.7	19	0	NA	0.000000e+00	96	1	59.1	0	96	NA	96	0.1	NA	NA	1.2	1.2	0.842	15.0
Slovakia	2014	Developed	76.4	113	0	10.60	0.000000e+00	97	0	58.4	0	97	8.50	97	0.1	NA	NA	1.2	1.2	0.841	15.1
Slovakia	2013	Developed	76.1	114	0	9.89	0.000000e+00	98	0	57.8	0	98	8.00	98	0.1	NA	NA	1.2	1.3	0.838	15.0
Slovakia	2012	Developed	75.8	118	0	10.12	0.000000e+00	99	0	57.2	0	99	8.15	99	0.1	NA	NA	1.2	1.3	0.835	15.0
Slovakia	2011	Developed	75.6	122	0	10.24	0.000000e+00	99	0	56.5	0	99	7.96	99	0.1	NA	NA	1.2	1.3	0.829	15.0
Slovakia	2010	Developed	75.1	124	0	10.13	0.000000e+00	99	0	55.9	0	99	8.51	99	0.1	NA	NA	1.3	1.3	0.822	15.0
Slovakia	2009	Developed	75.0	131	0	10.63	0.000000e+00	99	0	55.3	0	99	9.15	99	0.1	NA	NA	1.3	1.4	0.820	14.9
Slovakia	2008	Developed	74.7	136	0	11.37	0.000000e+00	99	0	54.8	0	99	8.20	99	0.1	NA	NA	1.3	1.4	0.813	14.8
Slovakia	2007	Developed	74.4	14	0	10.58	0.000000e+00	99	0	54.2	0	99	7.76	99	0.1	NA	NA	1.3	1.4	0.802	14.5
Slovakia	2006	Developed	74.3	138	0	10.28	0.000000e+00	99	0	53.7	0	99	7.35	99	0.1	NA	NA	1.4	1.5	0.793	14.3
Slovakia	2005	Developed	74.0	141	0	10.81	0.000000e+00	99	0	53.1	0	99	7.40	99	0.1	NA	NA	1.4	1.5	0.784	14.0
Slovakia	2004	Developed	74.1	138	0	10.03	0.000000e+00	99	2	52.6	0	99	7.21	99	0.1	NA	NA	1.4	1.5	0.776	13.8
Slovakia	2003	Developed	73.8	144	0	9.85	0.000000e+00	99	1	52.1	0	98	5.82	99	0.1	NA	NA	1.5	1.6	0.771	13.6
Slovakia	2002	Developed	73.7	145	0	10.78	0.000000e+00	99	0	51.6	0	98	5.63	99	0.1	NA	NA	1.5	1.6	0.763	13.3
Slovakia	2001	Developed	73.3	145	0	10.73	0.000000e+00	99	0	51.1	1	99	5.50	99	0.1	NA	NA	1.5	1.6	0.763	13.3
Slovakia	2000	Developed	73.0	147	0	11.06	0.000000e+00	98	0	5.7	1	98	5.50	99	0.1	NA	NA	1.6	1.7	0.761	13.0
Slovenia	2015	Developed	88.0	74	0	NA	0.000000e+00	NA	18	6.1	0	95	NA	95	0.1	2.729864e+03	2.635310e+05	1.4	1.3	0.888	17.3
Slovenia	2014	Developed	87.0	76	0	10.46	3.113493e+01	NA	52	59.5	0	95	9.23	95	0.1	2.426729e+02	2.619800e+04	1.4	1.4	0.888	17.6
Slovenia	2013	Developed	85.0	78	0	9.53	2.597787e+02	NA	1	58.9	0	95	9.29	95	0.1	2.315318e+03	2.599530e+05	1.4	1.4	0.878	16.8
Slovenia	2012	Developed	82.0	81	0	10.95	3.283025e+03	NA	2	58.2	0	96	9.37	96	0.1	2.248647e+04	2.571590e+05	1.5	1.5	0.877	16.8
Slovenia	2011	Developed	79.8	84	0	10.61	3.343026e+03	NA	22	57.6	0	96	9.80	96	0.1	2.498525e+04	2.528430e+05	1.6	1.6	0.876	17.0
Slovenia	2010	Developed	79.5	87	0	10.32	3.187496e+03	NA	2	57.0	0	96	9.70	96	0.1	2.343747e+04	2.485830e+05	1.6	1.6	0.872	16.9
Slovenia	2009	Developed	79.1	9	0	10.52	3.505389e+03	NA	0	56.4	0	96	9.38	96	0.1	2.463380e+04	2.396690e+05	1.7	1.7	0.873	16.9
Slovenia	2008	Developed	78.9	96	0	10.94	3.929589e+02	NA	0	55.8	0	97	8.47	97	0.1	2.751813e+03	2.213160e+05	1.7	1.7	0.869	16.9
Slovenia	2007	Developed	78.3	12	0	11.02	3.256724e+03	NA	0	55.2	0	97	7.98	97	0.1	2.384132e+04	2.181220e+05	1.8	1.8	0.865	16.8
Slovenia	2006	Developed	78.1	17	0	12.26	2.724178e+03	NA	0	54.7	0	97	8.42	97	0.1	1.972613e+04	2.686800e+04	1.8	1.9	0.858	16.7
Slovenia	2005	Developed	77.5	14	0	11.14	2.503714e+03	NA	0	54.1	0	95	8.50	95	0.1	1.816919e+04	2.474000e+03	1.9	2.0	0.853	16.3
Slovenia	2004	Developed	77.2	113	0	10.00	2.353785e+02	NA	0	53.5	0	94	8.47	94	0.1	1.726915e+03	1.997120e+05	2.0	2.0	0.850	16.6
Slovenia	2003	Developed	76.5	119	0	11.58	2.033252e+02	NA	0	52.9	0	95	8.77	95	0.1	1.488472e+03	1.995733e+06	2.0	2.1	0.843	16.1
Slovenia	2002	Developed	76.6	117	0	9.29	1.617473e+03	NA	0	52.3	0	93	8.62	93	0.1	1.181500e+04	1.994530e+05	2.1	2.2	0.835	15.6
Slovenia	2001	Developed	76.2	124	0	10.80	1.963026e+02	NA	0	51.8	0	93	8.57	92	0.1	1.479296e+03	1.992600e+04	2.2	2.2	0.824	14.7
Slovenia	2000	Developed	76.0	122	0	11.90	1.614474e+02	NA	0	51.2	0	93	8.26	91	0.1	1.227737e+03	1.988925e+06	2.2	2.3	0.818	14.6
Solomon Islands	2015	Developing	69.2	177	0	NA	0.000000e+00	98	0	5.5	0	99	NA	98	0.1	1.922414e+03	5.874820e+05	1.1	1.2	0.514	9.6
Solomon Islands	2014	Developing	68.8	183	0	0.01	3.718439e+00	88	0	49.7	0	94	5.50	88	0.1	2.965262e+01	5.755400e+04	1.1	1.2	0.512	9.6
Solomon Islands	2013	Developing	68.8	182	0	0.01	2.473329e+01	94	0	48.9	0	99	5.42	94	0.1	1.885159e+02	5.635130e+05	1.1	1.2	0.509	9.5
Solomon Islands	2012	Developing	68.7	184	0	0.01	2.479492e+02	99	0	48.1	0	99	5.48	99	0.1	1.858690e+03	5.515310e+05	1.2	1.2	0.505	9.4
Solomon Islands	2011	Developing	68.5	186	0	0.99	2.296687e+02	99	0	47.2	0	99	5.80	99	0.1	1.642838e+03	5.396140e+05	1.2	1.2	0.497	9.4
Solomon Islands	2010	Developing	68.3	188	0	1.10	2.952080e+01	9	0	46.4	0	94	7.47	9	0.1	1.272448e+03	5.277900e+04	1.2	1.2	0.492	9.3
Solomon Islands	2009	Developing	68.1	192	0	1.21	2.443976e+02	92	0	45.5	0	98	7.92	92	0.1	1.158283e+03	5.167900e+04	1.2	1.2	0.494	9.3
Solomon Islands	2008	Developing	68.0	193	0	1.09	1.974929e+01	89	0	44.7	0	94	5.97	89	0.1	1.257917e+02	5.447700e+04	1.2	1.2	0.489	9.2
Solomon Islands	2007	Developing	67.6	2	0	0.85	2.890135e+01	9	0	43.8	0	93	6.42	9	0.1	1.469311e+02	4.929400e+04	1.2	1.2	0.482	9.0
Solomon Islands	2006	Developing	67.6	2	0	0.99	2.404851e+02	99	0	43.0	0	99	6.66	99	0.1	9.486593e+02	4.814220e+05	1.3	1.3	0.470	8.4
Solomon Islands	2005	Developing	67.4	24	0	0.90	2.531156e+01	83	0	42.1	0	9	7.83	89	0.1	8.887486e+01	4.698850e+05	1.3	1.3	0.465	8.3
Solomon Islands	2004	Developing	67.1	29	0	1.18	1.955259e+02	81	0	41.3	0	89	5.64	9	0.1	8.184426e+02	4.583240e+05	1.3	1.3	0.459	8.1
Solomon Islands	2003	Developing	66.8	215	0	1.18	1.683171e+01	79	0	4.4	0	84	6.00	84	0.1	7.447657e+02	4.467690e+05	1.3	1.3	0.453	8.0
Solomon Islands	2002	Developing	66.5	22	0	1.08	1.562848e+02	75	0	39.6	0	78	6.90	78	0.1	7.849563e+02	4.352620e+05	1.4	1.4	0.446	7.3
Solomon Islands	2001	Developing	66.2	227	0	0.70	3.251115e+02	83	0	38.7	0	88	6.44	84	0.1	9.448168e+02	4.238530e+05	1.4	1.4	0.442	6.6
Solomon Islands	2000	Developing	65.8	235	0	0.71	4.249261e+00	81	0	37.9	0	88	4.56	86	0.1	1.545186e+02	4.126900e+04	1.4	1.4	0.455	7.2
Somalia	2015	Developing	55.0	312	50	NA	0.000000e+00	42	7497	24.3	80	47	NA	42	0.7	4.269854e+02	NA	6.6	6.4	NA	NA
Somalia	2014	Developing	54.3	321	51	0.01	0.000000e+00	42	10229	23.8	80	47	NA	42	0.8	4.178914e+02	NA	6.7	6.5	NA	NA
Somalia	2013	Developing	54.2	318	51	0.01	0.000000e+00	42	3173	23.3	81	47	NA	42	0.8	4.754324e+01	NA	6.8	6.6	NA	NA
Somalia	2012	Developing	53.1	336	51	0.01	0.000000e+00	NA	9983	22.9	82	47	NA	42	0.8	NA	NA	6.8	6.7	NA	NA
Somalia	2011	Developing	53.1	329	51	0.01	0.000000e+00	NA	17298	22.4	82	49	NA	41	0.8	NA	NA	6.9	6.7	NA	NA
Somalia	2010	Developing	52.4	336	52	0.01	0.000000e+00	NA	115	22.0	83	49	NA	45	0.8	NA	NA	7.0	6.8	NA	NA
Somalia	2009	Developing	52.2	335	52	0.01	0.000000e+00	NA	13	21.5	84	41	NA	42	0.8	NA	NA	7.1	6.9	NA	NA
Somalia	2008	Developing	51.9	336	52	0.01	0.000000e+00	NA	1081	21.1	84	4	NA	31	0.9	NA	NA	7.2	7.0	NA	NA
Somalia	2007	Developing	51.5	34	52	0.01	0.000000e+00	NA	1149	2.7	84	4	NA	4	0.9	NA	NA	7.3	7.1	NA	NA
Somalia	2006	Developing	51.5	337	51	0.01	0.000000e+00	NA	7	2.2	83	26	NA	26	0.9	NA	NA	7.4	7.2	NA	NA
Somalia	2005	Developing	51.6	334	50	0.01	0.000000e+00	NA	0	19.8	82	35	NA	35	0.9	NA	NA	7.5	7.3	NA	NA
Somalia	2004	Developing	51.2	341	49	0.01	0.000000e+00	NA	12008	19.4	80	3	NA	3	0.9	NA	NA	7.6	7.4	NA	NA
Somalia	2003	Developing	51.1	344	48	0.01	0.000000e+00	NA	8257	19.0	78	4	NA	4	0.9	NA	NA	7.7	7.5	NA	NA
Somalia	2002	Developing	58.0	348	47	0.01	0.000000e+00	NA	9559	18.6	77	4	NA	4	0.9	NA	NA	7.8	7.6	NA	NA
Somalia	2001	Developing	57.0	352	46	0.01	0.000000e+00	NA	3571	18.2	75	33	NA	33	0.8	NA	NA	7.9	7.7	NA	NA
Somalia	2000	Developing	55.0	355	45	0.01	0.000000e+00	NA	3965	17.8	74	37	NA	33	0.8	NA	NA	8.0	7.9	NA	NA
South Africa	2015	Developing	62.9	328	42	NA	0.000000e+00	75	17	51.1	52	75	NA	75	3.6	5.769773e+03	5.511977e+06	4.4	5.3	0.665	13.0
South Africa	2014	Developing	62.0	347	42	7.38	9.220507e+02	8	66	5.3	52	77	8.80	77	3.7	6.479626e+03	5.414673e+07	4.9	5.9	0.660	13.0
South Africa	2013	Developing	69.0	371	43	7.34	9.785905e+02	7	25	49.5	54	73	8.78	73	4.5	6.876954e+03	5.331196e+07	5.4	6.5	0.652	12.8
South Africa	2012	Developing	59.2	48	43	7.38	1.089955e+03	68	32	48.7	56	65	8.79	65	7.6	7.548164e+03	5.256516e+06	6.0	7.3	0.644	12.8
South Africa	2011	Developing	58.9	413	43	7.38	1.237533e+02	76	92	47.9	58	69	8.61	69	8.5	8.499542e+02	5.172935e+07	6.6	8.0	0.638	12.8
South Africa	2010	Developing	58.0	428	43	7.28	1.038886e+03	71	12499	47.2	62	72	8.50	72	11.0	7.362761e+03	5.979432e+06	7.3	8.9	0.630	12.8
South Africa	2009	Developing	56.5	449	46	7.60	7.825987e+02	74	5857	46.4	70	75	8.39	76	19.0	5.888628e+03	5.255813e+06	8.1	9.8	0.622	12.8
South Africa	2008	Developing	55.3	473	50	8.19	7.800336e+02	76	39	45.7	75	77	7.75	79	23.5	5.786600e+03	4.955757e+07	8.9	1.7	0.616	12.9
South Africa	2007	Developing	54.5	486	51	8.48	8.054901e+02	83	31	45.0	79	79	7.53	82	26.4	6.125400e+03	4.888384e+07	9.7	11.7	0.612	12.9
South Africa	2006	Developing	54.0	496	54	8.50	7.321255e+02	83	81	44.3	82	79	7.57	82	28.1	5.631735e+03	4.823384e+06	1.6	12.8	0.609	12.9
South Africa	2005	Developing	53.8	498	55	8.69	7.093171e+02	79	615	43.6	84	75	7.77	79	29.5	5.414634e+03	4.766672e+05	11.6	13.9	0.609	12.9
South Africa	2004	Developing	53.7	497	55	6.96	6.220438e+02	76	830	42.9	83	73	7.93	74	29.7	4.863517e+03	4.717990e+03	12.6	15.0	0.611	12.9
South Africa	2003	Developing	54.0	485	55	6.93	5.191564e+02	71	244	42.2	82	7	8.26	69	28.9	3.775683e+03	4.641819e+07	13.5	16.1	0.613	12.9
South Africa	2002	Developing	54.9	459	54	7.04	3.465316e+02	72	1043	41.6	79	7	8.90	7	26.6	2.518398e+03	4.585548e+07	14.5	17.1	0.620	12.9
South Africa	2001	Developing	56.0	429	52	7.38	3.652586e+02	72	1166	4.9	76	71	8.31	71	24.0	2.681781e+03	4.531294e+07	15.4	18.1	0.629	13.0
South Africa	2000	Developing	57.3	397	51	7.30	4.596381e+01	73	1459	4.1	73	71	8.70	73	21.3	3.372253e+02	4.489686e+07	16.3	19.1	0.635	13.0
South Sudan	2015	Developing	57.3	332	26	NA	0.000000e+00	31	878	NA	39	41	NA	31	3.4	7.587258e+02	1.188214e+07	NA	NA	0.421	4.9
South Sudan	2014	Developing	56.6	343	26	NA	4.607447e+01	NA	441	NA	39	44	2.74	39	3.5	1.151862e+03	1.153971e+06	NA	NA	0.421	4.9
South Sudan	2013	Developing	56.4	345	26	NA	4.744453e+01	NA	525	NA	40	5	2.62	45	3.6	1.186113e+03	1.117749e+06	NA	NA	0.417	4.9
South Sudan	2012	Developing	56.0	347	26	NA	3.833823e+01	NA	1952	NA	40	64	2.77	59	3.8	9.584558e+02	1.818258e+06	NA	NA	0.419	4.9
South Sudan	2011	Developing	55.4	355	27	NA	0.000000e+00	NA	1256	NA	41	66	NA	61	3.9	1.769713e+02	1.448857e+06	NA	NA	0.429	4.9
South Sudan	2010	Developing	55.0	359	27	NA	0.000000e+00	NA	0	NA	41	NA	NA	NA	4.0	1.562239e+03	1.671920e+05	NA	NA	0.000	0.0
South Sudan	2009	Developing	54.3	369	27	NA	0.000000e+00	NA	0	NA	42	NA	NA	NA	4.2	1.264790e+03	9.676670e+05	NA	NA	0.000	0.0
South Sudan	2008	Developing	53.6	377	27	NA	0.000000e+00	NA	0	NA	42	NA	NA	NA	4.2	1.678712e+03	9.263136e+06	NA	NA	0.000	0.0
South Sudan	2007	Developing	53.1	381	27	NA	0.000000e+00	NA	0	NA	43	NA	NA	NA	4.2	NA	8.856800e+04	NA	NA	0.000	0.0
South Sudan	2006	Developing	52.5	383	28	NA	0.000000e+00	NA	0	NA	43	NA	NA	NA	4.1	NA	8.468152e+06	NA	NA	0.000	0.0
South Sudan	2005	Developing	51.9	383	28	NA	0.000000e+00	NA	0	NA	44	NA	NA	NA	3.9	NA	8.188770e+05	NA	NA	0.000	0.0
South Sudan	2004	Developing	51.4	383	29	NA	0.000000e+00	NA	0	NA	45	NA	NA	NA	3.8	NA	7.787655e+06	NA	NA	0.000	0.0
South Sudan	2003	Developing	58.0	383	29	NA	0.000000e+00	NA	0	NA	46	NA	NA	NA	3.5	NA	7.516420e+05	NA	NA	0.000	0.0
South Sudan	2002	Developing	52.0	382	30	NA	0.000000e+00	NA	0	NA	48	NA	NA	NA	3.3	NA	7.237276e+06	NA	NA	0.000	0.0
South Sudan	2001	Developing	49.6	381	30	NA	0.000000e+00	NA	0	NA	49	NA	NA	NA	3.0	NA	6.974442e+06	NA	NA	0.000	0.0
South Sudan	2000	Developing	48.9	38	31	NA	0.000000e+00	NA	0	NA	50	NA	NA	NA	2.7	NA	6.765600e+04	NA	NA	0.000	0.0
Spain	2015	Developed	82.8	56	1	NA	0.000000e+00	97	115	66.6	1	97	NA	97	0.1	2.568385e+04	4.644770e+07	0.6	0.5	0.882	17.7
Spain	2014	Developed	82.6	58	1	0.01	4.298848e+01	96	154	66.0	1	97	9.30	97	0.1	2.964722e+02	4.648882e+06	0.6	0.5	0.877	17.6
Spain	2013	Developed	82.4	6	1	9.25	4.236805e+02	95	131	65.4	2	96	9.10	96	0.1	2.921934e+03	4.662450e+05	0.6	0.5	0.874	17.5
Spain	2012	Developed	82.0	61	1	9.35	4.255782e+03	96	1204	64.8	2	97	9.39	97	0.1	2.856229e+04	4.677355e+06	0.6	0.5	0.871	17.2
Spain	2011	Developed	82.1	63	1	9.62	4.873819e+03	97	3802	64.1	2	97	9.48	97	0.1	3.183422e+04	4.674270e+07	0.6	0.5	0.867	16.9
Spain	2010	Developed	81.9	64	1	9.78	5.787417e+02	97	302	63.5	2	97	9.56	97	0.1	3.736228e+03	4.657690e+07	0.6	0.5	0.860	16.4
Spain	2009	Developed	81.6	66	2	9.99	5.047254e+03	96	41	62.9	2	96	9.52	96	0.1	3.233347e+04	4.636295e+07	0.6	0.5	0.858	16.3
Spain	2008	Developed	81.3	7	2	10.24	5.596535e+03	97	297	62.3	2	97	8.80	97	0.1	3.557874e+04	4.595416e+06	0.6	0.5	0.854	16.1
Spain	2007	Developed	89.0	72	2	11.05	5.109327e+02	96	267	61.7	2	96	8.36	96	0.1	3.279414e+03	4.522683e+06	0.6	0.5	0.849	16.0
Spain	2006	Developed	88.0	73	2	11.86	4.460390e+03	97	362	61.1	2	98	8.23	98	0.1	2.848269e+04	4.439732e+07	0.6	0.5	0.844	15.9
Spain	2005	Developed	81.0	77	2	11.92	4.054476e+02	96	22	6.5	2	96	8.12	96	0.1	2.651717e+03	4.365316e+07	0.6	0.5	0.837	15.8
Spain	2004	Developed	81.0	79	2	11.96	3.715370e+03	97	26	59.9	2	97	8.50	97	0.1	2.491865e+04	4.292190e+07	0.6	0.5	0.833	15.6
Spain	2003	Developed	79.4	83	2	12.09	3.205020e+03	81	256	59.3	2	99	7.99	98	0.1	2.149577e+04	4.218765e+07	0.6	0.5	0.830	15.6
Spain	2002	Developed	79.5	83	2	12.26	2.283543e+02	82	67	58.8	2	98	7.25	98	0.1	1.719535e+03	4.143156e+07	0.6	0.5	0.828	15.7
Spain	2001	Developed	79.4	84	2	9.86	2.044170e+03	83	0	58.2	2	95	7.24	96	0.1	1.532361e+04	4.854120e+05	0.6	0.5	0.825	15.7
Spain	2000	Developed	79.1	86	2	11.12	1.934398e+03	77	152	57.6	2	95	7.21	95	0.1	1.467677e+04	4.567864e+06	0.6	0.5	0.820	15.7
Sri Lanka	2015	Developing	74.9	138	3	NA	0.000000e+00	99	1568	23.4	3	99	NA	99	0.1	3.844891e+03	2.966000e+03	15.1	15.0	0.764	14.0
Sri Lanka	2014	Developing	74.7	141	3	2.37	4.273083e+01	99	1686	22.7	3	99	3.50	99	0.1	3.825499e+02	2.771000e+03	15.2	15.0	0.760	14.0
Sri Lanka	2013	Developing	74.6	142	3	2.56	4.162054e+01	99	2107	21.9	3	99	3.68	99	0.1	3.612894e+02	2.585000e+03	15.2	15.1	0.757	13.8
Sri Lanka	2012	Developing	74.5	143	3	2.80	2.076877e+01	99	51	21.2	4	99	3.21	99	0.1	3.355214e+02	2.425000e+03	15.3	15.2	0.752	13.7
Sri Lanka	2011	Developing	74.5	141	3	3.03	2.083302e+01	99	60	2.5	4	99	3.28	99	0.1	3.229926e+02	2.271000e+03	15.3	15.3	0.746	13.6
Sri Lanka	2010	Developing	74.5	138	3	2.31	1.917268e+02	99	79	19.8	4	99	3.43	99	0.1	2.819511e+03	2.119000e+03	15.3	15.3	0.739	13.5
Sri Lanka	2009	Developing	71.8	183	4	2.05	1.339092e+01	97	21	19.2	4	97	3.37	97	0.1	2.166816e+02	1.996800e+04	15.3	15.4	0.735	13.4
Sri Lanka	2008	Developing	72.3	172	4	2.10	1.781424e+01	98	33	18.5	4	98	3.44	98	0.1	2.544892e+02	1.981700e+04	15.4	15.4	0.731	13.3
Sri Lanka	2007	Developing	73.7	146	4	2.29	1.276378e+02	98	44	17.9	5	98	3.76	98	0.1	1.644816e+03	1.966800e+04	15.4	15.5	0.725	13.2
Sri Lanka	2006	Developing	73.8	145	4	1.96	1.202472e+02	98	0	17.2	5	98	4.60	98	0.1	1.448761e+03	1.952000e+03	15.4	15.5	0.718	13.1
Sri Lanka	2005	Developing	74.2	138	4	1.97	9.776637e+01	99	3	16.6	5	99	4.60	99	0.1	1.259876e+03	1.937300e+04	15.4	15.5	0.712	12.9
Sri Lanka	2004	Developing	69.1	197	6	1.56	1.535342e+01	62	35	16.1	10	97	4.28	97	0.1	1.746692e+02	1.922800e+04	15.4	15.5	0.705	12.8
Sri Lanka	2003	Developing	73.9	146	5	1.69	7.242809e+01	32	65	15.6	5	98	3.95	99	0.1	9.894548e+02	1.983000e+03	15.4	15.5	0.697	12.7
Sri Lanka	2002	Developing	73.7	149	5	1.62	5.963596e+01	NA	139	15.1	5	98	3.89	98	0.1	8.731472e+02	1.893900e+04	15.4	15.6	0.699	12.6
Sri Lanka	2001	Developing	72.7	16	5	1.68	5.361279e+01	NA	309	14.6	6	98	3.81	98	0.1	8.376998e+02	1.879700e+04	15.4	15.6	0.686	12.5
Sri Lanka	2000	Developing	71.5	175	5	1.45	6.049098e+01	NA	16527	14.1	6	99	3.77	99	0.1	8.754122e+02	1.865500e+04	15.3	15.5	0.677	12.4
Sudan	2015	Developing	64.1	225	58	NA	0.000000e+00	93	3585	NA	85	93	NA	93	0.3	2.513885e+03	3.864783e+06	NA	NA	0.488	7.2
Sudan	2014	Developing	63.8	229	59	0.01	2.536087e+02	94	676	NA	86	94	8.43	94	0.3	2.176898e+03	3.773791e+07	NA	NA	0.485	7.2
Sudan	2013	Developing	63.5	232	60	0.01	2.278353e+02	93	2813	NA	88	93	8.42	93	0.3	1.955668e+03	3.684992e+07	NA	NA	0.478	7.0
Sudan	2012	Developing	63.2	235	61	0.01	2.205222e+02	92	8523	NA	89	92	8.20	92	0.3	1.892894e+03	3.599192e+06	NA	NA	0.468	6.8
Sudan	2011	Developing	62.7	241	61	2.12	1.966892e+02	93	5616	NA	91	93	8.30	93	0.3	1.666858e+03	3.516731e+07	NA	NA	0.463	7.0
Sudan	2010	Developing	62.5	243	62	1.77	1.720098e+02	75	680	NA	92	9	7.97	9	0.3	1.476479e+03	3.438596e+07	NA	NA	0.461	7.0
Sudan	2009	Developing	62.0	248	63	1.99	1.705369e+01	72	68	NA	94	81	8.40	81	0.3	1.226884e+03	3.365619e+06	NA	NA	0.456	6.8
Sudan	2008	Developing	61.8	251	64	2.01	1.286363e+02	78	129	NA	95	85	8.17	86	0.3	1.291529e+03	3.295550e+07	NA	NA	0.444	6.3
Sudan	2007	Developing	61.4	254	65	2.01	8.613167e+01	78	327	NA	97	84	4.72	84	0.3	1.115695e+03	3.228253e+07	NA	NA	0.440	6.4
Sudan	2006	Developing	61.0	26	66	1.90	6.033686e+01	6	228	NA	99	77	3.93	78	0.2	8.938794e+02	3.167640e+05	NA	NA	0.430	6.2
Sudan	2005	Developing	67.0	261	66	1.55	3.759040e+01	22	1374	NA	101	78	3.18	78	0.2	6.797540e+02	3.911914e+06	NA	NA	0.423	6.1
Sudan	2004	Developing	59.7	278	68	1.59	3.704480e+01	NA	9562	NA	102	74	3.39	74	0.2	5.655695e+02	3.186341e+06	NA	NA	0.415	5.7
Sudan	2003	Developing	59.6	278	69	1.74	3.535265e+01	NA	4381	NA	104	69	3.18	69	0.2	4.777385e+02	2.943594e+07	NA	NA	0.409	5.6
Sudan	2002	Developing	59.4	277	70	1.59	3.062288e+01	NA	4529	NA	106	6	2.95	6	0.2	4.121518e+02	2.867957e+07	NA	NA	0.403	5.6
Sudan	2001	Developing	58.9	283	71	1.81	2.888070e+01	NA	4362	NA	108	66	2.96	66	0.2	3.775254e+02	2.794550e+05	NA	NA	0.399	5.6
Sudan	2000	Developing	58.6	284	71	1.76	3.086001e+01	NA	2875	NA	109	62	3.23	62	0.1	3.613584e+02	2.725535e+06	NA	NA	0.394	5.5
Suriname	2015	Developing	71.6	176	0	NA	0.000000e+00	89	0	58.3	0	89	NA	89	0.4	8.818983e+03	5.532800e+04	3.5	3.5	0.723	12.7
Suriname	2014	Developing	71.4	178	0	6.32	1.132433e+03	85	0	57.7	0	85	5.69	85	0.4	9.564464e+03	5.479280e+05	3.5	3.5	0.722	12.7
Suriname	2013	Developing	71.2	179	0	6.02	1.122973e+03	86	0	57.0	0	86	5.96	86	0.4	9.484569e+03	5.425400e+04	3.5	3.5	0.719	12.7
Suriname	2012	Developing	71.3	178	0	5.73	1.168324e+03	84	0	56.3	0	84	6.90	84	0.9	9.272413e+03	5.377700e+04	3.5	3.4	0.708	12.7
Suriname	2011	Developing	76.0	187	0	5.64	9.891264e+02	86	0	55.5	0	86	5.93	86	0.1	8.318977e+03	5.315890e+05	3.5	3.4	0.704	12.5
Suriname	2010	Developing	73.0	19	0	5.26	9.908095e+01	86	0	54.8	0	96	5.81	96	0.5	8.333133e+02	5.261300e+04	3.5	3.4	0.700	12.3
Suriname	2009	Developing	70.0	196	0	5.13	8.850740e+02	87	0	54.1	0	85	6.14	87	0.6	7.443852e+03	5.261900e+04	3.5	3.4	0.696	12.1
Suriname	2008	Developing	69.8	196	0	4.94	8.154356e+02	84	0	53.3	0	85	5.92	85	1.2	6.858163e+03	5.151480e+05	3.5	3.4	0.691	11.9
Suriname	2007	Developing	69.5	22	0	4.72	6.850299e+02	84	0	52.6	0	84	5.92	84	0.8	5.761395e+03	5.975000e+03	3.5	3.4	0.684	11.7
Suriname	2006	Developing	69.3	199	0	4.52	7.280017e+01	84	0	51.8	0	84	6.22	84	0.6	5.279200e+02	5.437000e+03	3.5	3.4	0.678	11.5
Suriname	2005	Developing	68.9	25	0	4.47	4.189207e+02	83	0	51.1	0	84	6.78	83	0.6	3.595885e+03	4.989460e+05	3.5	3.4	0.672	11.3
Suriname	2004	Developing	68.3	214	0	4.55	4.232577e+00	NA	0	5.4	0	84	6.88	85	0.9	3.648773e+01	4.936300e+04	3.5	3.5	0.000	11.1
Suriname	2003	Developing	68.0	223	0	4.53	3.236621e+01	NA	0	49.7	0	74	6.62	75	1.0	2.631399e+02	4.883320e+05	3.5	3.5	0.000	10.9
Suriname	2002	Developing	67.9	221	0	4.41	2.507112e+02	NA	0	49.0	0	74	7.14	73	1.6	2.232513e+03	4.834400e+04	3.5	3.5	0.000	11.0
Suriname	2001	Developing	67.7	219	0	4.23	1.912135e+02	NA	0	48.3	0	65	8.38	68	1.8	1.598775e+03	4.777400e+04	3.6	3.5	0.000	11.0
Suriname	2000	Developing	67.4	224	0	4.29	2.681838e+02	NA	0	47.6	0	7	9.65	71	0.4	1.888618e+03	4.723900e+04	3.6	3.6	0.000	11.1
Swaziland	2015	Developing	58.9	373	2	NA	0.000000e+00	9	0	32.3	3	84	NA	9	7.1	3.136925e+03	1.319110e+05	4.0	4.1	0.541	11.4
Swaziland	2014	Developing	58.4	382	2	0.01	5.743895e+02	98	0	31.8	3	98	9.25	98	7.3	3.464352e+03	1.295970e+05	4.3	4.3	0.541	11.4
Swaziland	2013	Developing	57.6	393	2	0.01	7.089557e+02	98	0	31.2	3	98	9.66	98	9.8	3.598760e+03	1.271456e+06	4.5	4.6	0.539	11.4
Swaziland	2012	Developing	56.5	412	2	0.01	7.202334e+02	95	0	3.7	3	92	8.76	95	12.2	3.851515e+03	1.248158e+06	4.8	4.9	0.534	11.3
Swaziland	2011	Developing	55.0	438	2	5.20	7.357091e+02	91	0	3.2	3	85	8.61	91	15.7	3.934273e+03	1.225258e+06	5.1	5.2	0.526	11.2
Swaziland	2010	Developing	53.6	459	2	4.93	5.693671e+01	89	313	29.7	4	89	8.47	89	21.6	3.692393e+02	1.228430e+05	5.4	5.6	0.523	11.0
Swaziland	2009	Developing	52.6	46	3	4.90	4.761645e+01	88	26	29.3	4	89	8.46	88	33.7	3.325171e+02	1.186750e+05	5.8	5.9	0.519	10.8
Swaziland	2008	Developing	51.4	477	3	4.87	4.130063e+02	9	1	28.9	4	89	8.19	88	40.2	2.842438e+03	1.158897e+06	6.1	6.3	0.514	10.6
Swaziland	2007	Developing	50.0	51	3	5.55	4.336650e+01	92	0	28.5	4	88	7.50	87	40.7	3.474880e+02	1.138434e+06	6.5	6.7	0.508	10.5
Swaziland	2006	Developing	47.8	564	3	5.53	4.370802e+02	93	0	28.2	4	88	6.81	87	43.7	2.937367e+03	1.125140e+05	6.9	7.1	0.502	9.9
Swaziland	2005	Developing	46.0	63	3	5.08	3.721651e+02	95	0	27.8	4	88	6.80	86	49.1	2.873862e+03	1.158730e+05	7.3	7.5	0.495	9.7
Swaziland	2004	Developing	45.6	69	3	5.78	3.743858e+01	93	0	27.4	4	88	5.88	86	50.3	2.529634e+03	1.955300e+04	7.7	7.9	0.492	9.4
Swaziland	2003	Developing	45.9	6	3	5.65	2.819125e+00	9	350	27.1	4	87	5.71	85	50.6	2.299449e+01	1.873920e+05	8.2	8.4	0.493	9.1
Swaziland	2002	Developing	46.4	587	3	5.52	1.310421e+02	88	37	26.7	4	87	5.16	85	49.9	1.324996e+03	1.893000e+03	8.6	8.8	0.502	9.2
Swaziland	2001	Developing	47.1	568	3	6.72	1.436197e+02	86	49	26.3	4	87	5.11	84	48.8	1.437635e+03	1.729270e+05	9.0	9.2	0.506	9.3
Swaziland	2000	Developing	48.4	536	3	7.19	2.521683e+01	83	10	25.9	4	87	5.26	84	46.4	1.637457e+03	1.614680e+05	9.4	9.6	0.516	9.4
Sweden	2015	Developed	82.4	53	0	NA	0.000000e+00	67	22	59.5	0	98	NA	98	0.1	5.585258e+03	9.799186e+06	1.5	1.4	0.909	15.9
Sweden	2014	Developed	82.3	54	0	7.30	1.142212e+03	67	26	59.0	0	98	11.93	98	0.1	5.918199e+03	9.696110e+05	1.5	1.3	0.906	15.8
Sweden	2013	Developed	81.9	57	0	7.30	1.212666e+03	67	51	58.5	0	98	11.97	98	0.1	6.283245e+03	9.637900e+04	1.4	1.3	0.904	15.8
Sweden	2012	Developed	81.7	57	0	7.40	1.094702e+04	53	30	58.1	0	98	11.80	98	0.1	5.713478e+04	9.519374e+06	1.4	1.3	0.903	15.8
Sweden	2011	Developed	81.7	58	0	7.40	1.147767e+04	42	26	57.7	0	98	11.70	98	0.1	5.959329e+04	9.449213e+06	1.4	1.3	0.901	16.0
Sweden	2010	Developed	81.5	58	0	7.20	7.782477e+02	NA	6	57.3	0	98	9.47	98	0.1	5.276256e+03	9.378126e+06	1.3	1.3	0.895	15.8
Sweden	2009	Developed	81.4	62	0	7.30	6.821071e+02	NA	3	56.9	0	98	9.94	98	0.1	4.627592e+03	9.298515e+06	1.3	1.3	0.898	15.8
Sweden	2008	Developed	81.1	62	0	6.90	8.105591e+03	NA	25	56.5	0	98	9.23	98	0.1	5.574684e+04	9.219637e+06	1.3	1.3	0.897	15.7
Sweden	2007	Developed	89.0	63	0	6.90	7.593392e+03	NA	1	56.1	0	98	8.92	98	0.1	5.332438e+04	9.148920e+05	1.3	1.3	0.895	15.8
Sweden	2006	Developed	88.0	64	0	6.50	6.369516e+03	NA	19	55.7	0	98	8.95	98	0.1	4.625647e+04	9.855000e+03	1.3	1.3	0.892	15.9
Sweden	2005	Developed	85.0	66	0	6.50	5.990392e+02	NA	13	55.3	0	98	9.60	98	0.1	4.385353e+03	9.295720e+05	1.3	1.3	0.890	16.0
Sweden	2004	Developed	83.0	7	0	6.60	5.793364e+03	NA	5	54.9	0	99	9.90	99	0.1	4.244222e+04	8.993531e+06	1.3	1.3	0.888	16.0
Sweden	2003	Developed	82.0	69	0	6.90	5.067411e+03	NA	3	54.4	0	99	9.31	99	0.1	3.696143e+04	8.958229e+06	1.3	1.3	0.882	15.9
Sweden	2002	Developed	79.9	71	0	6.90	3.998100e+03	NA	9	53.9	0	99	9.23	99	0.1	2.957174e+04	8.924958e+06	1.3	1.3	0.880	15.9
Sweden	2001	Developed	79.8	73	0	6.60	3.554546e+03	NA	5	53.4	0	99	8.86	99	0.1	2.696924e+04	8.895960e+05	1.3	1.3	0.877	15.9
Sweden	2000	Developed	79.6	73	0	6.20	3.689727e+03	NA	59	52.8	0	99	8.18	99	0.1	2.928355e+04	8.872190e+05	1.4	1.3	0.873	15.9
Switzerland	2015	Developed	83.4	49	0	NA	0.000000e+00	NA	35	57.4	0	97	NA	97	0.1	8.989842e+03	8.282396e+06	0.4	0.3	0.938	16.0
Switzerland	2014	Developed	83.2	51	0	9.61	1.947991e+04	NA	23	57.0	0	96	11.66	96	0.1	8.581459e+04	8.188649e+06	0.4	0.3	0.936	15.9
Switzerland	2013	Developed	83.0	52	0	9.73	1.909905e+04	NA	175	56.6	0	96	11.71	96	0.1	8.465889e+04	8.893460e+05	0.4	0.3	0.934	15.8
Switzerland	2012	Developed	82.7	54	0	9.86	1.837933e+04	NA	61	56.2	0	96	11.59	96	0.1	8.316439e+04	7.996861e+06	0.5	0.3	0.932	15.7
Switzerland	2011	Developed	82.6	55	0	9.99	1.882287e+04	NA	621	55.8	0	96	11.21	96	0.1	8.799844e+04	7.912398e+06	0.5	0.3	0.932	15.6
Switzerland	2010	Developed	82.3	57	0	10.01	2.198591e+03	NA	77	55.4	0	96	11.70	95	0.1	7.427672e+04	7.824990e+05	0.5	0.4	0.920	15.4
Switzerland	2009	Developed	82.1	6	0	10.15	1.471483e+04	NA	958	55.0	0	96	11.00	95	0.1	6.967247e+04	7.743831e+06	0.5	0.4	0.916	15.3
Switzerland	2008	Developed	82.0	6	0	10.29	2.084256e+03	NA	2022	54.6	0	96	1.29	95	0.1	7.211957e+04	7.647675e+06	0.5	0.4	0.914	15.3
Switzerland	2007	Developed	81.7	63	0	10.44	1.189233e+04	NA	1015	54.1	0	94	1.21	94	0.1	6.322347e+04	7.551117e+06	0.5	0.4	0.911	15.3
Switzerland	2006	Developed	81.5	65	0	10.24	1.059808e+04	NA	0	53.7	0	94	1.39	94	0.1	5.734893e+04	7.483934e+06	0.6	0.4	0.904	15.2
Switzerland	2005	Developed	81.1	66	0	10.15	1.005535e+04	NA	60	53.2	0	94	1.86	94	0.1	5.479755e+04	7.437115e+06	0.6	0.4	0.899	15.2
Switzerland	2004	Developed	81.0	69	0	10.55	9.495541e+03	NA	39	52.8	0	95	1.96	93	0.1	5.325598e+04	7.389625e+06	0.6	0.4	0.895	15.1
Switzerland	2003	Developed	85.0	72	0	10.82	8.422768e+02	NA	574	52.3	0	95	1.93	93	0.1	4.796565e+03	7.339100e+04	0.6	0.5	0.889	15.0
Switzerland	2002	Developed	84.0	74	0	10.85	6.853628e+03	NA	0	51.8	0	95	1.61	93	0.1	4.133672e+04	7.284753e+06	0.6	0.5	0.890	15.2
Switzerland	2001	Developed	82.0	75	0	11.12	6.478346e+03	NA	700	51.3	0	95	1.28	93	0.1	3.853864e+04	7.229854e+06	0.7	0.5	0.888	15.2
Switzerland	2000	Developed	79.7	78	0	11.26	5.834582e+03	NA	0	5.8	0	95	9.91	93	0.1	3.781323e+04	7.184250e+05	0.7	0.5	0.879	15.1
Syrian Arab Republic	2015	Developing	64.5	293	6	NA	0.000000e+00	41	45	57.1	8	5	NA	41	0.1	NA	1.873499e+07	6.3	6.1	0.553	9.0
Syrian Arab Republic	2014	Developing	64.4	294	7	0.01	0.000000e+00	47	594	56.2	8	52	3.25	43	0.1	NA	1.923900e+04	6.3	6.1	0.575	9.0
Syrian Arab Republic	2013	Developing	63.6	37	7	0.01	0.000000e+00	71	740	55.2	9	5	3.25	41	0.1	NA	1.989141e+06	6.3	6.1	0.635	13.0
Syrian Arab Republic	2012	Developing	62.8	32	7	0.01	0.000000e+00	43	13	54.2	9	47	3.25	45	0.1	NA	2.427100e+04	6.3	6.1	0.645	12.5
Syrian Arab Republic	2011	Developing	71.7	163	7	0.76	0.000000e+00	66	13	53.2	8	6	3.23	72	0.1	NA	2.863993e+06	6.3	6.1	0.646	12.0
Syrian Arab Republic	2010	Developing	73.7	127	7	0.78	0.000000e+00	84	26	52.3	9	83	3.28	8	0.1	NA	2.118834e+06	6.4	6.1	0.650	11.7
Syrian Arab Republic	2009	Developing	73.8	124	7	0.81	0.000000e+00	84	22	51.3	9	83	3.55	8	0.1	NA	2.824893e+06	6.4	6.2	0.648	11.8
Syrian Arab Republic	2008	Developing	73.8	122	8	0.80	0.000000e+00	83	19	5.4	9	83	3.40	79	0.1	NA	2.325443e+06	6.4	6.2	0.651	11.6
Syrian Arab Republic	2007	Developing	73.8	121	8	0.83	1.798136e+01	83	403	49.4	9	83	3.72	8	0.1	2.583529e+02	1.963286e+06	6.4	6.2	0.644	11.5
Syrian Arab Republic	2006	Developing	73.7	123	8	0.97	1.226523e+02	83	517	48.5	10	83	3.78	8	0.1	1.762246e+03	1.891498e+07	6.4	6.3	0.636	11.4
Syrian Arab Republic	2005	Developing	73.5	127	9	0.92	1.162586e+02	83	375	47.6	10	83	4.11	8	0.1	1.577457e+03	1.829461e+07	6.5	6.3	0.624	11.0
Syrian Arab Republic	2004	Developing	73.2	131	9	0.93	1.021130e+01	82	189	46.8	10	84	4.48	81	0.1	1.488527e+02	1.786638e+06	6.5	6.3	0.610	10.6
Syrian Arab Republic	2003	Developing	73.0	134	9	1.29	9.475639e+01	81	801	46.0	11	85	5.12	83	0.1	1.253391e+03	1.741527e+07	6.6	6.4	0.599	10.3
Syrian Arab Republic	2002	Developing	72.8	135	9	1.25	9.170357e+01	8	538	45.3	11	86	4.94	84	0.1	1.263135e+03	1.787910e+05	6.6	6.5	0.596	10.2
Syrian Arab Republic	2001	Developing	72.7	135	10	1.29	9.350075e+01	8	290	44.6	11	83	4.92	82	0.1	1.258422e+03	1.676690e+07	6.7	6.5	0.589	10.1
Syrian Arab Republic	2000	Developing	72.6	136	10	1.41	8.172747e+01	79	146	43.9	12	86	4.92	84	0.1	1.177629e+03	1.641848e+06	6.8	6.6	0.588	10.0
Tajikistan	2015	Developing	69.7	161	10	NA	0.000000e+00	96	3	4.7	11	96	NA	96	0.2	9.186772e+02	8.548651e+06	3.6	3.7	0.625	11.3
Tajikistan	2014	Developing	69.6	162	10	0.01	7.829009e+00	97	0	39.9	11	94	6.88	97	0.2	1.144592e+02	8.362745e+06	3.6	3.7	0.622	11.3
Tajikistan	2013	Developing	69.3	163	10	0.01	1.041916e+00	96	1	39.0	11	97	6.75	96	0.2	1.421441e+01	8.177890e+05	3.6	3.7	0.617	11.2
Tajikistan	2012	Developing	68.8	164	10	0.01	7.150892e+01	94	16	38.2	12	96	6.39	94	0.2	9.547253e+02	7.995620e+05	3.6	3.7	0.613	11.1
Tajikistan	2011	Developing	68.1	166	10	0.32	5.199192e+01	96	1	37.4	12	97	5.98	96	0.2	8.345413e+02	7.815949e+06	3.7	3.7	0.608	11.1
Tajikistan	2010	Developing	67.3	171	10	0.32	4.334100e+01	93	0	36.6	12	95	6.40	93	0.2	7.383475e+02	7.641630e+05	3.7	3.8	0.603	11.1
Tajikistan	2009	Developing	66.7	174	10	0.30	3.571614e+01	93	0	35.9	12	93	5.93	93	0.2	6.663459e+02	7.472819e+06	3.7	3.8	0.601	11.1
Tajikistan	2008	Developing	66.4	178	10	0.32	4.153363e+00	86	0	35.3	12	87	5.58	86	0.3	7.691413e+01	7.397280e+05	3.8	3.8	0.592	10.8
Tajikistan	2007	Developing	66.1	181	10	0.35	2.272405e+00	84	2	34.7	12	85	5.35	86	0.3	5.235956e+01	7.152385e+06	3.8	3.8	0.586	10.9
Tajikistan	2006	Developing	65.9	183	10	0.38	2.626235e+00	88	3	34.1	12	76	5.70	83	0.3	4.428727e+01	7.557000e+03	3.8	3.9	0.579	10.7
Tajikistan	2005	Developing	65.5	194	10	0.37	1.983672e+01	81	0	33.5	12	79	5.89	84	0.3	3.373592e+02	6.854176e+06	3.8	3.9	0.572	10.6
Tajikistan	2004	Developing	65.9	177	11	0.38	2.093722e+00	81	4	33.0	13	82	5.70	86	0.3	3.928183e+01	6.712841e+06	3.9	3.9	0.563	10.5
Tajikistan	2003	Developing	65.2	182	11	0.36	1.325724e+01	58	2144	32.5	14	82	4.46	85	0.3	2.363144e+02	6.576877e+06	4.0	4.0	0.553	10.1
Tajikistan	2002	Developing	64.3	193	12	0.60	1.068147e+01	39	927	32.1	15	84	4.48	85	0.3	1.893879e+02	6.447688e+06	4.0	4.0	0.543	9.8
Tajikistan	2001	Developing	64.0	194	13	0.86	1.142004e+00	NA	38	31.6	16	84	4.59	85	0.3	1.781597e+01	6.327125e+06	4.1	4.1	0.535	9.7
Tajikistan	2000	Developing	63.7	198	14	0.37	8.943006e+00	NA	192	31.3	17	86	4.64	83	0.3	1.384366e+02	6.216250e+05	4.2	4.1	0.529	9.6
Thailand	2015	Developing	74.9	148	8	NA	0.000000e+00	99	154	33.6	9	99	NA	99	0.1	5.814863e+03	6.865760e+05	7.7	7.7	0.738	13.6
Thailand	2014	Developing	74.6	152	8	6.41	7.890773e+02	99	0	32.4	10	99	4.12	99	0.1	5.941847e+03	6.841677e+07	7.8	7.8	0.737	13.6
Thailand	2013	Developing	74.5	153	9	6.50	7.886873e+02	99	2641	31.3	10	99	4.00	99	0.1	6.171262e+03	6.814365e+06	7.9	7.9	0.733	13.6
Thailand	2012	Developing	74.3	154	9	6.56	8.010505e+02	98	5197	3.1	11	99	4.17	99	0.1	5.859916e+03	6.784398e+07	8.0	8.1	0.729	13.7
Thailand	2011	Developing	74.1	155	10	6.07	7.484451e+02	98	3156	29.0	11	99	4.12	99	0.2	5.491160e+03	6.753130e+05	8.1	8.2	0.720	13.3
Thailand	2010	Developing	73.9	158	10	5.95	7.168509e+01	98	2583	27.9	12	99	3.81	99	0.2	5.753218e+02	6.728880e+05	8.2	8.3	0.711	13.1
Thailand	2009	Developing	73.7	16	11	5.88	5.472101e+02	98	6071	26.8	12	99	4.11	99	0.3	4.212549e+03	6.688187e+07	8.3	8.5	0.706	13.0
Thailand	2008	Developing	73.5	162	11	5.92	6.099512e+02	98	7790	25.7	13	99	3.92	99	0.3	4.378687e+03	6.654576e+06	8.5	8.6	0.700	12.9
Thailand	2007	Developing	73.3	165	12	6.20	5.207639e+02	96	3893	24.6	14	98	3.56	98	0.4	3.972265e+03	6.619562e+07	8.6	8.8	0.687	12.3
Thailand	2006	Developing	73.0	168	13	6.18	4.339211e+02	96	3588	23.6	15	98	3.49	98	0.5	3.368953e+03	6.582416e+07	8.7	8.9	0.686	12.4
Thailand	2005	Developing	72.5	177	13	6.26	3.211953e+02	96	3526	22.6	15	98	3.55	98	0.5	2.893651e+03	6.542547e+06	8.9	9.1	0.682	12.0
Thailand	2004	Developing	71.6	189	14	6.17	3.013598e+02	96	4165	21.7	16	98	3.51	98	0.5	2.659839e+03	6.522310e+05	9.0	9.2	0.674	11.9
Thailand	2003	Developing	71.7	189	15	6.14	2.828365e+02	96	4519	2.9	18	98	3.58	98	0.6	2.358936e+03	6.455495e+07	9.1	9.3	0.666	11.8
Thailand	2002	Developing	71.4	192	16	5.93	2.763810e+01	95	10315	2.2	19	97	3.70	96	0.7	2.965462e+02	6.473164e+06	9.2	9.5	0.657	11.5
Thailand	2001	Developing	71.2	194	17	5.92	1.760625e+02	95	7319	19.4	20	97	3.32	96	0.8	1.893145e+03	6.354332e+07	9.3	9.6	0.649	11.2
Thailand	2000	Developing	71.1	194	18	5.88	2.756483e-01	95	4074	18.7	21	97	3.40	97	0.8	2.756483e+01	6.295821e+06	9.4	9.7	0.640	10.9
The former Yugoslav republic of Macedonia	2015	Developing	75.7	12	0	NA	0.000000e+00	92	1	6.3	0	92	NA	91	0.1	NA	NA	2.1	2.1	0.746	12.9
The former Yugoslav republic of Macedonia	2014	Developing	75.5	12	0	1.13	0.000000e+00	97	116	59.7	0	96	6.48	95	0.1	NA	NA	2.2	2.2	0.743	12.9
The former Yugoslav republic of Macedonia	2013	Developing	75.3	14	0	1.03	0.000000e+00	97	4	59.1	0	98	6.70	98	0.1	NA	NA	2.2	2.2	0.741	12.9
The former Yugoslav republic of Macedonia	2012	Developing	75.1	15	0	1.23	0.000000e+00	98	7	58.5	0	97	6.76	95	0.1	NA	NA	2.2	2.2	0.739	12.9
The former Yugoslav republic of Macedonia	2011	Developing	74.9	17	0	1.16	0.000000e+00	96	701	57.9	0	97	6.61	96	0.1	NA	NA	2.2	2.3	0.735	12.9
The former Yugoslav republic of Macedonia	2010	Developing	74.7	18	0	1.47	0.000000e+00	9	217	57.4	0	95	6.83	95	0.1	NA	NA	2.3	2.3	0.732	13.0
The former Yugoslav republic of Macedonia	2009	Developing	74.4	111	0	1.77	0.000000e+00	95	5	56.9	0	96	6.74	96	0.1	NA	NA	2.3	2.4	0.730	13.0
The former Yugoslav republic of Macedonia	2008	Developing	74.2	111	0	1.72	0.000000e+00	97	27	56.4	0	96	6.85	95	0.1	NA	NA	2.4	2.4	0.714	12.2
The former Yugoslav republic of Macedonia	2007	Developing	73.5	12	0	1.75	0.000000e+00	96	1	55.9	0	96	6.90	95	0.1	NA	NA	2.4	2.5	0.709	12.2
The former Yugoslav republic of Macedonia	2006	Developing	73.7	122	0	1.74	0.000000e+00	89	3	55.4	0	92	7.61	93	0.1	NA	NA	2.5	2.5	0.703	12.1
The former Yugoslav republic of Macedonia	2005	Developing	73.6	12	0	1.75	0.000000e+00	53	5	54.9	0	98	7.95	97	0.1	NA	NA	2.5	2.6	0.000	11.9
The former Yugoslav republic of Macedonia	2004	Developing	73.5	12	0	2.07	0.000000e+00	NA	9	54.5	0	95	8.64	94	0.1	NA	NA	2.6	2.6	0.000	11.9
The former Yugoslav republic of Macedonia	2003	Developing	73.2	126	0	2.40	0.000000e+00	NA	18	54.1	0	96	9.17	96	0.1	NA	NA	2.7	2.7	0.000	11.9
The former Yugoslav republic of Macedonia	2002	Developing	72.8	128	0	2.53	0.000000e+00	NA	19	53.6	0	97	9.10	96	0.1	NA	NA	2.7	2.7	0.000	11.9
The former Yugoslav republic of Macedonia	2001	Developing	73.1	126	0	3.27	0.000000e+00	NA	27	53.2	0	91	8.18	91	0.1	NA	NA	2.8	2.8	0.000	11.8
The former Yugoslav republic of Macedonia	2000	Developing	72.6	125	0	2.86	0.000000e+00	NA	36	52.7	0	96	8.52	95	0.1	NA	NA	2.8	2.8	0.000	11.7
Timor-Leste	2015	Developing	68.3	152	2	NA	0.000000e+00	76	43	17.4	2	75	NA	76	0.1	1.161769e+03	1.249770e+05	1.9	11.1	0.603	12.5
Timor-Leste	2014	Developing	68.0	155	2	0.01	2.814579e+01	77	47	17.0	2	76	1.48	77	0.1	1.153516e+03	1.212814e+06	1.9	11.1	0.612	12.5
Timor-Leste	2013	Developing	67.7	158	2	0.01	3.379875e+00	82	4	16.6	2	82	1.29	82	0.1	1.177657e+02	1.184366e+06	11.1	11.2	0.620	12.5
Timor-Leste	2012	Developing	67.4	159	2	0.01	3.017999e+01	83	16	16.2	2	83	1.10	83	0.1	1.117777e+03	1.156760e+05	11.2	11.3	0.618	12.5
Timor-Leste	2011	Developing	67.2	161	2	0.50	2.726571e+00	67	763	15.8	3	66	0.76	67	0.1	1.145618e+02	1.131523e+06	11.3	11.4	0.607	12.5
Timor-Leste	2010	Developing	66.9	163	2	0.10	3.858377e+01	72	50	15.5	3	72	0.92	72	0.1	8.498627e+02	1.195910e+05	11.5	11.5	0.599	12.4
Timor-Leste	2009	Developing	66.6	165	2	0.09	3.619949e+01	72	10	15.1	3	78	1.20	72	0.1	7.573114e+02	1.922100e+04	11.6	11.6	0.599	12.1
Timor-Leste	2008	Developing	66.2	168	2	0.06	3.669199e+01	79	0	14.7	3	79	0.74	79	0.1	6.437191e+02	1.781100e+04	11.7	11.7	0.566	11.7
Timor-Leste	2007	Developing	65.8	173	2	0.05	1.175767e+01	NA	0	14.2	3	7	0.37	7	0.1	5.248959e+02	1.649730e+05	11.8	11.8	0.541	11.3
Timor-Leste	2006	Developing	64.9	186	2	0.04	2.812561e+01	NA	90	13.9	3	62	0.65	63	0.1	4.415323e+02	1.486210e+05	11.9	11.9	0.511	11.0
Timor-Leste	2005	Developing	63.7	26	3	0.36	7.127145e+00	NA	203	13.5	3	55	1.50	55	0.1	4.783319e+02	1.264840e+05	12.0	11.9	0.492	10.6
Timor-Leste	2004	Developing	62.3	229	3	0.38	8.415789e+00	NA	41	13.2	3	57	1.31	57	0.1	4.675438e+02	9.966980e+05	12.0	12.0	0.484	10.2
Timor-Leste	2003	Developing	61.0	25	3	0.44	4.639133e+01	NA	94	12.9	4	55	2.48	55	0.1	4.714566e+02	9.685200e+04	12.1	12.1	0.485	9.8
Timor-Leste	2002	Developing	62.0	261	3	0.48	5.649123e+00	NA	0	12.6	4	38	3.89	54	0.1	4.861552e+01	9.238250e+05	12.1	12.1	0.475	9.8
Timor-Leste	2001	Developing	59.4	269	3	0.50	6.556584e+00	NA	0	12.3	4	NA	3.75	NA	0.1	5.642499e+01	8.925310e+05	12.1	12.2	0.470	9.8
Timor-Leste	2000	Developing	58.7	276	3	0.50	4.906967e+01	NA	0	11.9	4	NA	3.26	NA	0.1	4.222863e+02	8.716700e+04	12.2	12.2	0.000	0.0
Togo	2015	Developing	59.9	287	13	NA	0.000000e+00	88	20	24.3	20	88	NA	88	1.0	5.511383e+02	7.416820e+05	6.5	6.2	0.484	12.0
Togo	2014	Developing	59.7	285	13	0.01	4.877350e+00	87	577	23.7	20	85	5.25	87	1.0	6.213185e+01	7.228915e+06	6.6	6.4	0.475	12.0
Togo	2013	Developing	59.4	287	14	0.01	4.873047e+01	84	564	23.1	20	84	5.12	84	1.5	5.794348e+02	7.429480e+05	6.8	6.6	0.470	12.0
Togo	2012	Developing	58.9	294	14	0.01	4.160028e+01	84	238	22.6	21	84	5.11	84	1.7	5.636894e+02	6.859482e+06	7.0	6.8	0.464	12.0
Togo	2011	Developing	58.3	34	14	1.44	3.908259e+01	85	187	22.0	21	85	5.21	85	2.6	5.623394e+02	6.679282e+06	7.1	7.0	0.457	11.5
Togo	2010	Developing	57.4	323	14	1.21	4.196145e+01	83	120	21.4	21	83	5.37	83	3.8	4.879239e+02	6.529520e+05	7.3	7.2	0.449	11.0
Togo	2009	Developing	56.7	336	14	1.24	7.709551e+01	78	425	2.9	22	78	6.64	78	4.3	4.996469e+02	6.334720e+05	7.5	7.4	0.442	10.6
Togo	2008	Developing	56.2	344	14	1.33	6.935925e+01	24	187	2.4	22	8	5.73	81	4.8	5.133919e+02	6.161796e+06	7.7	7.6	0.441	10.1
Togo	2007	Developing	55.9	344	14	1.37	6.756829e-01	NA	8	19.8	22	72	5.55	82	5.1	4.276474e+01	5.997385e+06	7.9	7.8	0.443	10.6
Togo	2006	Developing	55.7	345	15	1.37	6.226049e+00	NA	26	19.3	22	85	5.56	84	5.0	3.773363e+02	5.837792e+06	8.1	8.0	0.436	10.2
Togo	2005	Developing	55.0	357	15	1.14	3.662174e+01	NA	38	18.9	22	8	5.17	82	5.0	3.721722e+02	5.683268e+06	8.4	8.3	0.435	10.1
Togo	2004	Developing	54.9	355	15	1.01	3.989928e+00	NA	61	18.4	22	71	5.60	71	5.1	3.499937e+02	5.534598e+06	8.6	8.5	0.432	10.0
Togo	2003	Developing	54.7	355	15	1.02	2.995960e+00	NA	295	17.9	22	72	5.00	72	5.2	3.143714e+01	5.391410e+05	8.8	8.7	0.428	9.9
Togo	2002	Developing	54.7	351	15	1.00	1.995183e+00	NA	363	17.5	22	58	4.70	59	5.3	2.883212e+01	5.251472e+06	9.0	8.9	0.428	9.7
Togo	2001	Developing	54.6	345	14	0.95	2.048575e+00	NA	1833	17.1	22	51	4.29	5	5.3	2.663947e+01	5.111770e+05	9.2	9.1	0.426	9.4
Togo	2000	Developing	54.6	339	14	1.10	2.029644e+00	NA	3578	16.6	22	63	4.35	64	5.1	2.639329e+01	4.973670e+05	9.4	9.3	0.425	9.3
Tonga	2015	Developing	73.5	133	0	NA	0.000000e+00	78	0	75.2	0	8	NA	78	0.1	4.937754e+02	1.636400e+04	0.1	0.1	0.718	14.3
Tonga	2014	Developing	73.3	135	0	0.01	5.659672e+02	8	0	74.8	0	82	5.18	8	0.1	4.192350e+03	1.578200e+04	0.1	0.1	0.716	14.3
Tonga	2013	Developing	73.2	137	0	0.01	5.849450e+02	82	0	74.3	0	84	4.98	82	0.1	4.266557e+03	1.532800e+04	0.1	0.1	0.718	14.3
Tonga	2012	Developing	73.0	138	0	0.01	6.380295e+01	77	0	73.8	0	79	4.51	77	0.1	4.515425e+02	1.495100e+04	0.1	0.1	0.717	14.4
Tonga	2011	Developing	72.9	14	0	0.96	7.033981e+00	82	0	73.3	0	84	4.60	82	0.1	4.451887e+02	1.457700e+04	0.1	0.1	0.712	14.4
Tonga	2010	Developing	72.8	142	0	1.24	4.718308e+02	82	0	72.7	0	84	4.59	82	0.1	3.547600e+03	1.413700e+04	0.1	0.1	0.707	14.4
Tonga	2009	Developing	72.5	147	0	1.08	4.783806e+00	84	0	72.1	0	86	4.67	84	0.1	3.784656e+01	1.364000e+03	0.1	0.1	0.703	14.5
Tonga	2008	Developing	72.6	145	0	1.10	5.696255e+02	84	0	71.5	0	88	5.13	86	0.1	3.392647e+03	1.350000e+02	0.1	0.1	0.698	14.5
Tonga	2007	Developing	72.5	146	0	2.05	5.688693e+02	87	0	7.8	0	88	5.82	87	0.1	2.932316e+03	1.235700e+04	0.1	0.1	0.698	14.5
Tonga	2006	Developing	72.4	148	0	1.79	5.035882e+02	89	0	7.1	0	89	5.61	88	0.1	2.892523e+03	1.168900e+04	0.1	0.1	0.695	14.6
Tonga	2005	Developing	72.3	15	0	1.57	6.899440e+02	89	0	69.4	0	9	6.52	89	0.1	2.594750e+03	1.141000e+03	0.1	0.1	0.694	14.6
Tonga	2004	Developing	72.2	151	0	1.80	4.232954e+02	9	0	68.6	0	91	4.87	9	0.1	2.284379e+03	1.460000e+02	0.1	0.1	0.693	14.6
Tonga	2003	Developing	72.0	153	0	1.79	4.585106e+01	85	0	67.8	0	91	5.90	9	0.1	2.297147e+02	9.978900e+04	0.1	0.1	0.683	13.7
Tonga	2002	Developing	71.9	155	0	1.51	3.108203e+02	88	0	67.0	0	85	5.30	84	0.1	1.842444e+03	9.918400e+04	0.1	0.1	0.679	13.5
Tonga	2001	Developing	71.8	157	0	1.35	3.301007e+02	91	4	66.2	0	91	5.66	89	0.1	1.837977e+03	9.861100e+04	0.1	0.1	0.674	13.2
Tonga	2000	Developing	71.6	158	0	1.24	4.049129e+01	93	0	65.5	0	91	4.75	91	0.1	2.632724e+02	9.882000e+03	0.1	0.1	0.676	13.7
Trinidad and Tobago	2015	Developing	71.2	17	0	NA	0.000000e+00	9	0	47.1	0	88	NA	96	0.3	1.732183e+04	1.369200e+04	5.7	5.9	0.779	12.7
Trinidad and Tobago	2014	Developing	71.1	171	0	6.94	1.578872e+03	92	0	46.0	0	94	5.93	92	0.3	1.932524e+04	1.354493e+06	5.8	6.0	0.778	12.7
Trinidad and Tobago	2013	Developing	71.0	172	0	6.71	1.672658e+02	92	0	45.0	0	94	5.98	92	0.3	1.967833e+03	1.348248e+06	5.8	6.0	0.773	12.7
Trinidad and Tobago	2012	Developing	78.0	174	0	6.70	1.486236e+03	92	0	44.0	0	91	5.78	92	0.4	1.915253e+04	1.341588e+06	5.9	6.1	0.772	12.6
Trinidad and Tobago	2011	Developing	76.0	176	0	6.50	1.449851e+02	9	0	43.0	0	91	5.60	9	0.4	1.953977e+03	1.334788e+06	5.9	6.2	0.774	12.6
Trinidad and Tobago	2010	Developing	74.0	179	0	6.50	1.389773e+03	9	0	42.0	0	91	5.29	9	0.4	1.668395e+04	1.328100e+04	5.9	6.3	0.772	12.5
Trinidad and Tobago	2009	Developing	71.0	183	0	6.37	1.280896e+02	9	0	41.1	0	9	6.47	9	0.2	1.458880e+03	1.321618e+06	6.0	6.4	0.773	12.5
Trinidad and Tobago	2008	Developing	69.9	185	0	6.41	1.902693e+03	9	0	4.2	0	91	4.40	9	0.3	2.118812e+04	1.315372e+06	6.1	6.4	0.767	12.4
Trinidad and Tobago	2007	Developing	69.7	187	0	6.37	1.368837e+02	89	0	39.3	0	9	4.82	88	0.7	1.653184e+03	1.392600e+04	6.1	6.5	0.760	12.4
Trinidad and Tobago	2006	Developing	69.6	188	0	6.35	1.033711e+02	89	0	38.4	0	89	4.49	92	0.6	1.495963e+03	1.331440e+05	6.2	6.6	0.751	12.3
Trinidad and Tobago	2005	Developing	69.5	189	0	6.12	1.187949e+03	95	0	37.6	0	95	5.31	95	0.5	1.232313e+04	1.296934e+06	6.3	6.7	0.745	12.3
Trinidad and Tobago	2004	Developing	69.4	19	0	5.82	1.185100e+01	94	0	36.8	0	94	5.22	94	1.0	1.295191e+02	1.295350e+05	6.3	6.8	0.736	12.2
Trinidad and Tobago	2003	Developing	69.3	191	0	5.53	7.872216e+01	76	0	36.0	1	91	5.13	91	0.5	8.845187e+02	1.284520e+05	6.4	6.9	0.729	12.0
Trinidad and Tobago	2002	Developing	69.2	192	0	5.12	7.203912e+01	5	0	35.2	1	96	5.00	96	2.0	7.496266e+02	1.277837e+06	6.5	7.0	0.721	11.9
Trinidad and Tobago	2001	Developing	69.1	194	0	4.55	5.167112e+02	NA	0	34.4	1	91	4.40	91	1.2	6.935721e+03	1.272380e+05	6.6	7.1	0.715	11.8
Trinidad and Tobago	2000	Developing	69.1	197	0	4.68	4.359523e+01	NA	0	33.6	1	9	4.17	9	0.9	6.439473e+02	1.267984e+06	6.7	7.2	0.709	11.7
Tunisia	2015	Developing	75.3	1	3	NA	0.000000e+00	98	16	61.2	3	98	NA	98	0.1	3.828916e+03	1.127366e+07	6.5	6.4	0.723	14.6
Tunisia	2014	Developing	75.1	12	3	1.39	6.048701e+02	98	15	6.2	3	98	7.00	98	0.1	4.271682e+03	1.114398e+06	6.5	6.4	0.722	14.7
Tunisia	2013	Developing	74.9	13	3	1.29	5.946453e+02	98	16	59.3	3	98	7.26	98	0.1	4.199473e+03	1.114558e+06	6.4	6.3	0.720	14.7
Tunisia	2012	Developing	74.9	13	3	1.30	5.858777e+02	97	48	58.3	3	97	7.18	97	0.1	4.137554e+03	1.886668e+06	6.4	6.3	0.717	14.6
Tunisia	2011	Developing	74.8	13	3	1.29	6.232120e+02	98	11	57.4	3	98	7.15	98	0.1	4.256913e+03	1.761467e+06	6.4	6.3	0.714	14.5
Tunisia	2010	Developing	74.8	12	3	1.28	6.485617e+01	98	1	56.5	3	98	6.54	98	0.1	4.141518e+02	1.639931e+06	6.3	6.3	0.710	14.4
Tunisia	2009	Developing	74.7	12	3	1.40	5.856308e+02	99	1	55.6	3	99	6.18	99	0.1	4.129977e+03	1.521834e+06	6.3	6.3	0.706	14.4
Tunisia	2008	Developing	74.7	12	3	1.37	5.308452e+01	99	2	54.7	3	99	5.63	99	0.1	4.319326e+02	1.473360e+05	6.3	6.3	0.701	14.3
Tunisia	2007	Developing	74.6	12	3	1.24	4.696283e+02	98	4	53.9	4	98	5.64	98	0.1	3.778184e+03	1.298870e+05	6.3	6.3	0.695	14.3
Tunisia	2006	Developing	74.4	12	3	1.46	4.201154e+02	99	3	53.1	4	99	5.64	99	0.1	3.371712e+03	1.196136e+06	6.3	6.3	0.689	14.2
Tunisia	2005	Developing	74.2	14	3	1.37	3.795140e+02	97	15	52.2	4	98	5.57	98	0.1	3.194562e+03	1.124820e+05	6.4	6.3	0.683	13.9
Tunisia	2004	Developing	74.0	15	3	1.36	3.797659e+02	96	1	51.4	4	97	5.63	97	0.1	3.112835e+03	1.176100e+04	6.4	6.3	0.673	13.6
Tunisia	2003	Developing	73.7	17	4	1.34	3.217694e+02	92	22	5.6	4	95	5.36	95	0.1	2.761969e+03	9.939678e+06	6.4	6.3	0.667	13.5
Tunisia	2002	Developing	73.5	19	4	1.17	2.628185e+02	93	98	49.7	5	96	5.32	96	0.1	2.346594e+03	9.864326e+06	6.5	6.4	0.662	13.3
Tunisia	2001	Developing	73.2	11	4	1.19	2.572879e+02	94	231	48.9	5	98	5.29	98	0.1	2.254933e+03	9.785710e+05	6.5	6.4	0.654	13.1
Tunisia	2000	Developing	72.9	112	4	1.21	2.647842e+02	94	47	48.1	5	97	5.40	97	0.1	2.213915e+03	9.699197e+06	6.6	6.5	0.646	12.8
Turkey	2015	Developing	75.8	16	15	NA	0.000000e+00	97	342	66.1	18	97	NA	97	0.1	1.979526e+03	7.827147e+07	4.9	4.8	0.764	14.5
Turkey	2014	Developing	75.5	17	16	1.45	1.819084e+02	96	565	65.3	19	96	5.41	96	0.1	1.212723e+04	7.736280e+05	4.9	4.7	0.759	14.5
Turkey	2013	Developing	75.2	19	17	1.41	1.881440e+02	97	7405	64.5	20	98	5.38	98	0.1	1.254294e+04	7.578733e+07	4.9	4.7	0.754	14.4
Turkey	2012	Developing	74.8	112	19	1.54	2.075120e+01	97	349	63.7	22	97	5.24	97	0.1	1.172384e+03	7.456987e+07	4.9	4.7	0.750	14.3
Turkey	2011	Developing	74.5	114	20	1.53	1.275878e+03	96	111	62.8	23	97	5.29	97	0.1	1.134113e+04	7.349455e+06	4.9	4.7	0.737	13.8
Turkey	2010	Developing	74.2	116	21	1.49	3.278236e+01	96	7	61.9	25	97	5.61	97	0.1	1.672569e+03	7.232691e+07	4.9	4.7	0.715	13.0
Turkey	2009	Developing	73.9	118	23	1.40	1.069483e+02	94	4	61.1	27	96	6.80	96	0.1	9.364999e+02	7.133919e+07	4.9	4.8	0.709	12.5
Turkey	2008	Developing	73.5	121	25	1.39	2.267272e+01	92	0	6.2	29	96	6.70	96	0.1	1.856898e+02	7.443200e+04	5.0	4.8	0.705	12.5
Turkey	2007	Developing	73.2	124	26	1.26	1.155801e+02	96	3	59.3	31	96	6.40	96	0.1	9.794925e+02	6.959728e+07	5.0	4.8	0.697	12.3
Turkey	2006	Developing	72.8	126	28	1.29	1.035238e+02	82	34	58.5	34	9	5.81	9	0.1	8.348692e+02	6.876345e+06	5.0	4.8	0.687	11.9
Turkey	2005	Developing	72.4	129	30	1.29	8.329552e+02	85	6200	57.6	36	9	5.45	9	0.1	7.384355e+03	6.793460e+05	5.0	4.9	0.681	11.9
Turkey	2004	Developing	72.0	132	33	1.35	1.132767e+00	77	8927	56.8	39	85	5.37	85	0.1	6.472953e+01	6.778550e+05	5.1	4.9	0.675	12.0
Turkey	2003	Developing	71.6	135	35	1.42	4.591113e+02	68	5844	55.9	43	69	5.34	68	0.1	4.718513e+03	6.685830e+05	5.1	5.0	0.668	11.9
Turkey	2002	Developing	71.2	138	38	1.47	3.555729e+01	72	7823	55.1	46	78	5.36	78	0.1	3.665700e+02	6.514354e+06	5.2	5.0	0.658	11.5
Turkey	2001	Developing	78.0	14	41	1.49	2.564342e+02	77	30509	54.3	50	88	5.16	88	0.1	3.119637e+03	6.419147e+07	5.2	5.1	0.653	11.1
Turkey	2000	Developing	74.0	143	44	1.54	4.212957e+02	71	16244	53.5	54	85	4.95	85	0.1	4.316554e+03	6.324121e+06	5.3	5.2	0.641	10.7
Turkmenistan	2015	Developing	66.3	215	6	NA	0.000000e+00	99	0	48.6	7	99	NA	99	0.1	6.432669e+03	5.565284e+06	3.3	3.3	0.688	10.8
Turkmenistan	2014	Developing	66.0	217	7	2.90	6.911334e+02	97	0	47.7	8	98	2.70	98	0.1	7.962366e+03	5.466241e+06	3.3	3.3	0.683	10.8
Turkmenistan	2013	Developing	65.4	228	7	2.93	6.374811e+01	98	0	46.7	8	98	2.12	98	0.1	7.344253e+02	5.366277e+06	3.2	3.3	0.678	10.7
Turkmenistan	2012	Developing	65.6	22	7	2.75	5.794128e+02	98	0	45.9	8	98	1.96	97	0.1	6.675263e+03	5.267839e+06	3.2	3.3	0.672	10.7
Turkmenistan	2011	Developing	65.6	217	7	2.55	4.904181e+02	97	0	45.0	8	97	1.98	97	0.1	5.649978e+03	5.174610e+05	3.2	3.3	0.665	10.6
Turkmenistan	2010	Developing	65.8	211	7	2.48	3.853252e+02	96	0	44.2	8	96	1.99	96	0.1	4.439230e+03	5.872100e+04	3.2	3.3	0.000	10.6
Turkmenistan	2009	Developing	65.6	215	6	2.35	3.788466e+01	97	0	43.4	8	97	1.88	96	0.1	4.364592e+02	5.795000e+03	3.2	3.3	0.000	10.5
Turkmenistan	2008	Developing	64.5	235	6	2.40	3.423979e+01	96	0	42.7	8	96	1.93	96	0.1	3.944677e+02	4.935762e+06	3.2	3.3	0.000	10.5
Turkmenistan	2007	Developing	64.1	241	6	2.58	3.586514e-01	98	59	42.0	8	98	2.16	98	0.1	2.637143e+01	4.871370e+05	3.3	3.3	0.000	10.4
Turkmenistan	2006	Developing	63.7	245	6	2.71	2.927235e+01	98	48	41.3	8	98	2.90	98	0.1	2.136668e+03	4.811500e+04	3.3	3.3	0.000	10.4
Turkmenistan	2005	Developing	63.3	248	6	2.85	2.198886e+00	99	0	4.7	8	99	3.51	99	0.1	1.745147e+02	4.754641e+06	3.4	3.4	0.000	10.3
Turkmenistan	2004	Developing	63.5	238	6	2.86	1.861014e+02	96	1	4.0	8	98	4.30	97	0.1	1.453917e+03	4.733980e+05	3.4	3.4	0.000	10.3
Turkmenistan	2003	Developing	63.4	231	7	2.88	1.796156e+02	97	1	39.4	8	66	3.85	83	0.1	1.283886e+03	4.655741e+06	3.5	3.4	0.000	10.3
Turkmenistan	2002	Developing	63.3	229	7	2.33	1.303785e+02	96	11	38.7	8	99	3.34	98	0.1	9.679175e+02	4.612000e+03	3.5	3.5	0.000	10.2
Turkmenistan	2001	Developing	64.0	221	7	2.35	1.061807e+02	NA	9	38.1	9	94	3.87	95	0.1	7.744763e+02	4.564800e+04	3.6	3.5	0.000	10.2
Turkmenistan	2000	Developing	63.8	224	7	2.90	8.824363e+01	NA	113	37.5	9	98	3.94	97	0.1	6.431752e+02	4.516131e+06	3.6	3.6	0.000	0.0
Tuvalu	2013	Developing	NA	NA	0	0.01	7.828120e+01	9	0	79.3	0	9	16.61	9	0.1	3.542136e+03	1.819000e+03	0.2	0.1	NA	0.0
Uganda	2015	Developing	62.3	291	66	NA	0.000000e+00	78	478	18.5	93	82	NA	78	3.1	6.938964e+02	4.144870e+05	5.6	5.6	0.488	10.0
Uganda	2014	Developing	61.5	38	68	0.01	1.416770e+01	78	314	18.1	97	82	7.22	78	3.2	7.191727e+02	3.883334e+07	5.7	5.6	0.483	10.0
Uganda	2013	Developing	67.0	325	71	0.01	9.076144e+01	78	7878	17.6	103	82	7.47	78	4.0	6.624923e+02	3.755373e+07	5.7	5.7	0.478	10.0
Uganda	2012	Developing	60.0	339	73	0.01	9.288698e+01	78	2027	17.2	109	82	7.58	78	4.6	6.477474e+02	3.636796e+06	5.8	5.8	0.477	10.0
Uganda	2011	Developing	59.3	347	76	10.22	9.449687e+01	82	3312	16.7	114	82	9.90	82	6.8	5.843962e+02	3.593648e+06	5.9	5.9	0.477	10.7
Uganda	2010	Developing	58.4	362	79	10.03	1.162030e+02	8	1313	16.3	119	79	11.20	8	8.0	5.949973e+02	3.391513e+07	6.0	6.0	0.473	10.9
Uganda	2009	Developing	57.5	378	82	9.63	8.704535e+01	79	1601	15.9	124	78	8.43	79	8.1	6.471773e+02	3.277190e+07	6.1	6.1	0.464	10.8
Uganda	2008	Developing	56.3	41	84	9.79	7.285024e+01	71	1319	15.6	130	69	9.10	71	8.2	4.496928e+02	3.166390e+07	6.2	6.2	0.453	10.6
Uganda	2007	Developing	55.5	41	88	9.65	6.002528e+00	73	3776	15.2	137	7	9.76	73	8.4	4.185863e+01	3.594870e+05	6.3	6.3	0.442	10.3
Uganda	2006	Developing	54.9	41	93	9.81	5.083901e+01	64	5736	14.8	145	62	9.86	64	8.6	3.364594e+02	2.955662e+06	6.4	6.4	0.434	10.6
Uganda	2005	Developing	53.2	446	99	10.09	4.452614e+01	64	22	14.5	155	59	9.36	64	8.7	3.157882e+02	2.854394e+06	6.5	6.5	0.429	10.9
Uganda	2004	Developing	51.3	485	104	9.89	3.660609e+01	62	141	14.2	164	58	8.90	62	8.9	2.882369e+02	2.756844e+07	6.6	6.6	0.427	11.6
Uganda	2003	Developing	51.0	53	109	10.16	4.426792e+00	44	29429	13.9	173	57	7.54	59	9.4	2.379996e+02	2.662482e+06	6.7	6.7	0.418	11.5
Uganda	2002	Developing	48.8	523	112	10.42	2.690898e+00	29	49871	13.6	181	57	7.78	57	10.0	2.424232e+01	2.571848e+06	6.8	6.8	0.404	11.0
Uganda	2001	Developing	47.7	539	115	10.57	2.697625e+01	NA	48543	13.3	187	56	7.26	55	10.8	2.349848e+02	2.485489e+07	6.9	6.9	0.396	10.8
Uganda	2000	Developing	46.6	554	116	10.47	2.259447e+01	NA	42554	13.0	191	55	6.77	52	11.6	2.576337e+02	2.439274e+06	7.0	7.0	0.382	9.8
Ukraine	2015	Developing	71.3	195	4	NA	0.000000e+00	22	105	61.3	5	51	NA	23	0.2	2.124663e+03	4.515429e+06	2.3	2.4	0.748	15.3
Ukraine	2014	Developing	78.0	23	4	8.06	5.663849e+00	22	0	6.7	5	45	7.10	23	0.2	3.146583e+02	4.527195e+07	2.3	2.4	0.746	15.2
Ukraine	2013	Developing	71.0	198	4	8.44	5.242530e+01	46	0	6.1	5	72	7.67	76	0.2	4.297155e+02	4.548960e+05	2.3	2.4	0.744	15.2
Ukraine	2012	Developing	77.0	25	5	8.44	4.537831e+02	46	12746	59.6	5	72	7.47	76	0.2	3.855421e+03	4.559330e+05	2.4	2.4	0.739	15.1
Ukraine	2011	Developing	75.0	24	5	8.48	4.151628e+02	21	1333	59.0	5	54	6.98	5	0.2	3.569757e+03	4.576100e+04	2.4	2.5	0.734	14.9
Ukraine	2010	Developing	69.8	212	5	8.39	3.756835e+02	48	39	58.5	6	57	7.81	52	0.2	2.965142e+03	4.587700e+04	2.4	2.5	0.728	14.9
Ukraine	2009	Developing	69.2	231	5	8.71	3.245491e+02	66	0	58.0	6	74	7.80	71	0.3	2.545483e+03	4.653300e+04	2.5	2.6	0.734	14.9
Ukraine	2008	Developing	67.7	273	5	9.46	4.564587e+02	84	48	57.6	6	91	6.63	9	0.4	3.891378e+03	4.625820e+05	2.5	2.6	0.730	14.9
Ukraine	2007	Developing	67.5	277	5	8.86	4.619685e+01	92	1005	57.2	6	98	6.36	98	0.7	3.686900e+02	4.659350e+05	2.5	2.7	0.723	14.8
Ukraine	2006	Developing	67.7	267	5	7.99	2.938173e+01	96	42724	56.8	6	99	6.39	98	0.8	2.331883e+02	4.678775e+06	2.6	2.7	0.716	14.7
Ukraine	2005	Developing	67.0	278	5	7.31	2.174345e+02	97	2392	56.4	6	95	6.41	96	0.9	1.828718e+03	4.715150e+05	2.7	2.8	0.707	14.5
Ukraine	2004	Developing	67.4	267	5	6.79	1.803538e+02	98	146	56.1	6	99	6.61	99	1.0	1.367352e+03	4.745160e+05	2.7	2.8	0.700	14.6
Ukraine	2003	Developing	67.6	256	6	5.92	2.122386e+01	77	411	55.7	6	99	6.93	97	0.9	1.485225e+02	4.781295e+06	2.8	2.9	0.691	14.3
Ukraine	2002	Developing	67.6	256	6	4.89	1.157390e+02	48	7587	55.4	7	99	6.25	99	0.9	8.794755e+02	4.822500e+04	2.9	3.0	0.683	13.9
Ukraine	2001	Developing	67.7	253	6	4.31	8.897422e+00	7	16970	55.1	7	99	5.66	99	0.8	7.873824e+01	4.868387e+07	2.9	3.0	0.673	13.2
Ukraine	2000	Developing	67.5	257	6	4.49	7.883792e+00	4	817	54.8	8	99	5.59	99	0.7	6.357896e+02	4.917585e+07	3.0	3.1	0.669	13.3
United Arab Emirates	2015	Developing	77.1	75	1	NA	0.000000e+00	99	347	64.2	1	99	NA	99	0.1	3.911747e+03	NA	5.3	5.1	0.836	13.3
United Arab Emirates	2014	Developing	76.9	77	1	1.91	3.862683e+03	99	344	62.4	1	99	3.64	99	0.1	4.444974e+04	NA	5.2	5.0	0.832	13.3
United Arab Emirates	2013	Developing	76.7	78	1	1.82	3.772009e+02	98	0	6.5	1	98	3.49	98	0.1	4.335643e+03	NA	5.2	5.0	0.829	13.3
United Arab Emirates	2012	Developing	76.5	8	1	1.75	3.663765e+03	96	132	58.6	1	96	3.45	96	0.1	4.211224e+04	NA	5.1	5.0	0.826	13.3
United Arab Emirates	2011	Developing	76.3	81	1	1.73	3.877750e+02	95	0	57.1	1	95	3.70	95	0.1	4.462313e+03	NA	5.1	4.9	0.824	13.3
United Arab Emirates	2010	Developing	76.2	82	1	1.69	3.080661e+02	94	87	55.8	1	94	3.93	94	0.1	3.549148e+03	NA	5.1	4.9	0.826	13.3
United Arab Emirates	2009	Developing	76.0	84	1	1.73	2.924023e+02	93	0	55.1	1	94	4.50	93	0.1	3.372575e+03	NA	5.1	4.9	0.831	13.2
United Arab Emirates	2008	Developing	75.8	85	1	1.86	4.003909e+03	92	55	54.8	1	94	2.93	92	0.1	4.575896e+04	NA	5.1	4.9	0.829	13.1
United Arab Emirates	2007	Developing	75.6	87	1	1.69	3.759457e+03	92	0	55.1	1	94	2.57	92	0.1	4.267261e+04	NA	5.1	4.9	0.826	12.9
United Arab Emirates	2006	Developing	75.4	89	1	1.74	3.749942e+03	92	0	55.8	1	94	2.33	92	0.1	4.237222e+04	NA	5.1	4.9	0.823	12.8
United Arab Emirates	2005	Developing	75.3	92	1	1.79	3.427320e+03	92	29	56.6	1	94	2.32	94	0.1	3.943982e+04	NA	5.1	4.9	0.818	12.6
United Arab Emirates	2004	Developing	75.1	95	1	1.77	2.972449e+03	92	22	57.0	1	94	2.46	94	0.1	3.616118e+04	NA	5.2	4.9	0.813	12.4
United Arab Emirates	2003	Developing	74.9	98	1	1.74	2.771818e+02	92	42	56.8	1	94	2.65	94	0.1	3.323523e+03	NA	5.2	5.0	0.808	12.3
United Arab Emirates	2002	Developing	74.7	11	1	1.72	2.598843e+03	92	53	56.0	1	94	2.72	94	0.1	3.131136e+04	NA	5.3	5.0	0.803	12.1
United Arab Emirates	2001	Developing	74.5	14	1	1.67	2.437539e+02	92	30	55.0	1	94	2.48	94	0.1	3.161529e+03	NA	5.3	5.1	0.798	12.0
United Arab Emirates	2000	Developing	74.2	17	1	1.64	2.629590e+02	92	69	54.1	1	94	2.38	94	0.1	3.371269e+03	NA	5.4	5.1	0.791	11.8
United Kingdom of Great Britain and Northern Ireland	2015	Developed	81.2	69	3	10.66	0.000000e+00	NA	91	66.6	4	96	NA	96	0.1	NA	NA	0.8	0.6	NA	NA
United Kingdom of Great Britain and Northern Ireland	2014	Developed	81.0	71	3	10.37	0.000000e+00	NA	133	66.0	4	95	9.12	95	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2013	Developed	87.0	72	3	10.32	0.000000e+00	NA	1919	65.4	4	95	9.34	95	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2012	Developed	86.0	72	3	10.42	0.000000e+00	NA	2092	64.8	4	95	9.41	95	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2011	Developed	86.0	74	3	10.68	0.000000e+00	NA	1112	64.2	4	95	9.34	95	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2010	Developed	82.0	77	3	10.88	0.000000e+00	NA	443	63.6	4	94	9.51	94	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2009	Developed	81.0	78	4	10.79	0.000000e+00	NA	1212	63.1	4	93	9.81	93	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2008	Developed	79.6	8	4	11.47	0.000000e+00	NA	1445	62.5	4	92	8.85	92	0.1	NA	NA	0.8	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2007	Developed	79.5	8	4	11.84	0.000000e+00	NA	1022	61.9	4	92	8.42	92	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2006	Developed	79.3	82	4	11.61	0.000000e+00	NA	764	61.3	4	92	8.36	92	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2005	Developed	79.0	82	4	12.05	0.000000e+00	NA	79	6.7	4	91	8.24	91	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2004	Developed	78.8	83	4	12.22	0.000000e+00	NA	189	6.1	4	92	7.98	92	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2003	Developed	78.3	86	4	11.85	0.000000e+00	NA	460	59.5	4	91	7.81	91	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2002	Developed	78.2	87	4	11.44	0.000000e+00	NA	314	58.8	4	91	7.57	91	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2001	Developed	78.0	88	4	10.91	0.000000e+00	NA	73	58.2	4	91	7.31	91	0.1	NA	NA	0.7	0.5	NA	NA
United Kingdom of Great Britain and Northern Ireland	2000	Developed	77.8	89	4	10.59	0.000000e+00	NA	104	57.5	5	91	6.94	91	0.1	NA	NA	0.7	0.5	NA	NA
United Republic of Tanzania	2015	Developing	61.8	279	85	NA	0.000000e+00	98	30	23.8	119	96	NA	98	1.4	NA	NA	6.7	6.5	NA	NA
United Republic of Tanzania	2014	Developing	67.0	34	86	0.01	0.000000e+00	97	88	23.2	121	97	5.58	97	1.4	NA	NA	6.8	6.6	NA	NA
United Republic of Tanzania	2013	Developing	59.7	323	86	4.20	0.000000e+00	91	185	22.5	124	91	5.57	91	2.1	NA	NA	6.8	6.7	NA	NA
United Republic of Tanzania	2012	Developing	58.6	348	87	3.98	0.000000e+00	92	1668	21.9	126	9	5.72	92	2.4	NA	NA	6.9	6.8	NA	NA
United Republic of Tanzania	2011	Developing	58.3	348	88	4.04	0.000000e+00	9	1622	21.3	128	88	5.72	9	3.1	NA	NA	7.0	6.9	NA	NA
United Republic of Tanzania	2010	Developing	57.5	36	89	4.19	0.000000e+00	91	167	2.7	131	94	5.30	91	4.6	NA	NA	7.1	7.1	NA	NA
United Republic of Tanzania	2009	Developing	56.9	368	91	3.97	0.000000e+00	85	1574	2.2	135	88	3.97	85	6.4	NA	NA	7.2	7.2	NA	NA
United Republic of Tanzania	2008	Developing	56.2	376	92	3.44	0.000000e+00	86	3413	19.6	138	89	4.21	86	7.4	NA	NA	7.3	7.3	NA	NA
United Republic of Tanzania	2007	Developing	54.5	411	94	4.40	0.000000e+00	83	7726	19.1	141	88	4.72	83	8.5	NA	NA	7.5	7.4	NA	NA
United Republic of Tanzania	2006	Developing	53.1	437	96	4.07	0.000000e+00	9	2362	18.6	145	91	6.86	9	9.4	NA	NA	7.6	7.5	NA	NA
United Republic of Tanzania	2005	Developing	52.2	449	97	3.94	0.000000e+00	9	23	18.1	149	91	4.66	9	10.0	NA	NA	7.7	7.6	NA	NA
United Republic of Tanzania	2004	Developing	51.5	454	100	3.81	0.000000e+00	95	1419	17.7	154	95	4.10	95	10.8	NA	NA	7.8	7.8	NA	NA
United Republic of Tanzania	2003	Developing	58.0	459	103	2.34	0.000000e+00	95	1673	17.2	160	97	4.60	95	11.5	NA	NA	7.9	7.9	NA	NA
United Republic of Tanzania	2002	Developing	52.0	46	106	3.37	0.000000e+00	89	5131	16.8	166	91	3.59	89	12.1	NA	NA	8.0	8.0	NA	NA
United Republic of Tanzania	2001	Developing	49.6	46	110	4.09	0.000000e+00	NA	11847	16.4	173	65	3.28	87	12.5	NA	NA	8.2	8.1	NA	NA
United Republic of Tanzania	2000	Developing	49.2	457	114	3.89	0.000000e+00	NA	14649	16.0	181	64	2.64	79	12.8	NA	NA	8.3	8.3	NA	NA
United States of America	2015	Developed	79.3	13	23	NA	0.000000e+00	92	188	69.6	26	93	NA	95	0.1	NA	NA	0.8	0.6	NA	NA
United States of America	2014	Developed	79.1	14	23	8.82	0.000000e+00	92	667	69.1	27	93	17.14	95	0.1	NA	NA	0.8	0.6	NA	NA
United States of America	2013	Developed	78.9	16	23	8.82	0.000000e+00	91	187	68.6	27	93	16.90	94	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2012	Developed	78.8	16	24	8.82	0.000000e+00	9	55	68.0	28	93	17.20	94	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2011	Developed	78.7	16	25	8.67	0.000000e+00	91	220	67.5	29	94	17.60	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2010	Developed	78.7	15	25	8.55	0.000000e+00	92	63	66.9	30	93	17.20	95	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2009	Developed	78.5	18	26	8.71	0.000000e+00	92	71	66.3	31	93	17.00	95	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2008	Developed	78.2	18	27	8.74	0.000000e+00	94	140	65.7	31	94	16.20	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2007	Developed	78.1	11	27	8.74	0.000000e+00	93	43	65.1	32	93	15.57	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2006	Developed	77.8	113	28	8.63	0.000000e+00	93	55	64.4	33	93	15.27	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2005	Developed	77.5	112	28	8.52	0.000000e+00	93	66	63.8	33	92	15.15	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2004	Developed	77.5	111	28	8.48	0.000000e+00	92	37	63.1	33	92	15.14	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2003	Developed	77.2	114	28	8.40	0.000000e+00	92	56	62.4	33	91	15.60	96	0.1	NA	NA	0.7	0.6	NA	NA
United States of America	2002	Developed	77.0	115	28	8.33	0.000000e+00	88	41	61.7	33	9	14.55	94	0.1	NA	NA	0.8	0.6	NA	NA
United States of America	2001	Developed	76.9	115	28	8.25	0.000000e+00	89	116	6.9	33	89	13.73	94	0.1	NA	NA	0.8	0.6	NA	NA
United States of America	2000	Developed	76.8	114	28	8.21	0.000000e+00	9	85	6.1	33	9	13.70	94	0.1	NA	NA	0.8	0.7	NA	NA
Uruguay	2015	Developing	77.0	116	0	NA	0.000000e+00	95	0	64.0	0	95	NA	95	0.1	1.552484e+04	3.431552e+06	1.5	1.4	0.794	15.5
Uruguay	2014	Developing	76.8	117	0	6.03	4.636398e+02	95	0	63.4	0	95	8.58	95	0.1	1.673790e+04	3.419546e+06	1.5	1.4	0.791	15.5
Uruguay	2013	Developing	76.8	117	0	5.82	4.828039e+02	94	0	62.9	0	94	8.68	94	0.1	1.688126e+04	3.485000e+03	1.5	1.4	0.788	15.5
Uruguay	2012	Developing	76.5	118	0	5.77	3.397190e+02	95	0	62.3	0	95	8.74	95	0.1	1.592682e+03	3.396777e+06	1.5	1.5	0.784	15.5
Uruguay	2011	Developing	77.0	111	0	5.97	4.179117e+02	95	0	61.8	1	95	8.55	95	0.1	1.416650e+04	3.385624e+06	1.5	1.5	0.780	15.5
Uruguay	2010	Developing	76.3	118	0	6.21	2.331533e+03	95	0	61.2	1	95	8.63	95	0.1	1.193821e+04	3.374415e+06	1.5	1.5	0.777	15.6
Uruguay	2009	Developing	76.6	118	0	6.67	1.871737e+03	95	0	6.7	1	95	8.78	95	0.1	9.415174e+03	3.362755e+06	1.5	1.5	0.774	15.5
Uruguay	2008	Developing	76.4	119	1	6.76	2.473142e+01	94	0	6.1	1	94	8.17	94	0.1	9.623122e+02	3.358240e+05	1.6	1.5	0.770	15.7
Uruguay	2007	Developing	75.4	124	1	6.67	1.447306e+01	94	0	59.5	1	94	8.23	94	0.1	7.969746e+01	3.339741e+06	1.6	1.5	0.760	15.3
Uruguay	2006	Developing	76.2	117	1	6.58	1.712226e+03	95	0	58.9	1	95	11.17	95	0.1	5.877877e+03	3.331430e+05	1.6	1.6	0.756	15.2
Uruguay	2005	Developing	75.7	123	1	6.35	1.525448e+02	96	0	58.3	1	96	11.15	96	0.1	5.229511e+02	3.325612e+06	1.6	1.6	0.753	15.5
Uruguay	2004	Developing	75.4	122	1	5.66	8.823564e+02	94	0	57.7	1	95	11.59	94	0.1	4.117389e+03	3.324960e+05	1.7	1.6	0.750	15.5
Uruguay	2003	Developing	75.4	121	1	5.11	1.608400e+02	91	0	57.0	1	91	6.52	91	0.1	3.622523e+03	3.325637e+06	1.7	1.6	0.747	15.0
Uruguay	2002	Developing	75.4	124	1	5.86	2.746881e+01	95	0	56.3	1	93	7.18	95	0.1	4.887689e+02	3.327773e+06	1.7	1.7	0.746	14.7
Uruguay	2001	Developing	75.2	123	1	6.48	4.214804e+02	94	0	55.7	1	94	7.46	94	0.1	6.281377e+03	3.327130e+05	1.8	1.7	0.742	14.2
Uruguay	2000	Developing	75.1	131	1	6.65	6.459584e+02	92	0	55.0	1	92	7.82	9	0.1	6.871898e+03	3.321245e+06	1.8	1.7	0.738	14.0
Uzbekistan	2015	Developing	69.4	184	15	NA	0.000000e+00	99	22	44.7	17	99	NA	99	0.1	2.137577e+03	3.129890e+05	3.0	3.1	0.697	12.1
Uzbekistan	2014	Developing	69.2	184	16	0.01	4.428024e-01	99	8	43.9	18	99	5.84	99	0.1	2.544841e+01	3.757700e+04	3.0	3.1	0.690	12.1
Uzbekistan	2013	Developing	69.1	185	17	0.01	1.916247e+01	99	0	43.0	19	99	6.32	99	0.1	1.975512e+02	3.243200e+04	3.0	3.1	0.681	12.0
Uzbekistan	2012	Developing	68.8	184	18	0.01	1.671406e+01	99	0	42.2	21	99	6.49	99	0.1	1.744683e+02	2.977450e+05	3.0	3.1	0.673	12.0
Uzbekistan	2011	Developing	68.5	183	19	2.83	1.406905e+02	99	476	41.4	22	99	5.65	99	0.1	1.564967e+03	2.933940e+05	3.0	3.1	0.664	12.0
Uzbekistan	2010	Developing	68.3	183	20	2.73	1.194571e+02	99	117	4.7	23	99	5.34	99	0.2	1.377821e+03	2.856240e+05	3.0	3.1	0.657	11.9
Uzbekistan	2009	Developing	68.0	183	21	2.56	9.281480e+01	98	0	4.0	24	99	6.31	98	0.2	1.213265e+03	2.776740e+05	3.1	3.1	0.651	11.8
Uzbekistan	2008	Developing	67.9	184	22	2.36	1.389021e+01	91	2	39.3	25	98	5.92	98	0.3	1.822862e+02	2.732800e+04	3.1	3.1	0.644	11.9
Uzbekistan	2007	Developing	67.8	184	22	2.15	9.290984e+00	99	863	38.7	26	98	5.81	96	0.3	8.347694e+01	2.686800e+04	3.1	3.1	0.631	11.8
Uzbekistan	2006	Developing	67.6	185	23	1.96	7.727092e+01	98	823	38.1	27	94	5.49	96	0.4	6.542838e+02	2.648825e+06	3.2	3.2	0.626	11.8
Uzbekistan	2005	Developing	67.3	192	24	1.78	4.013342e+01	99	737	37.5	28	99	5.11	99	0.3	5.467769e+02	2.616700e+04	3.2	3.2	0.620	11.7
Uzbekistan	2004	Developing	67.8	183	24	1.59	3.441887e+01	99	75	37.0	29	99	5.11	99	0.3	4.651199e+02	2.586435e+06	3.2	3.2	0.613	11.6
Uzbekistan	2003	Developing	67.2	183	25	1.54	2.852136e+01	99	85	36.4	30	99	5.17	98	0.3	3.961300e+02	2.556765e+06	3.3	3.3	0.607	11.3
Uzbekistan	2002	Developing	67.1	186	27	1.47	2.499439e+01	62	25	35.9	32	99	5.44	99	0.2	3.833495e+02	2.527185e+06	3.3	3.3	0.600	11.0
Uzbekistan	2001	Developing	67.4	185	28	1.53	4.366386e+01	NA	22	35.3	34	99	5.28	99	0.2	4.567349e+02	2.496445e+06	3.4	3.3	0.594	10.7
Uzbekistan	2000	Developing	67.1	189	30	1.60	4.850942e+01	NA	80	34.8	36	99	5.29	99	0.1	5.582211e+02	2.465400e+04	3.4	3.4	0.000	10.6
Vanuatu	2015	Developing	72.0	13	0	NA	0.000000e+00	64	39	53.3	0	65	NA	64	0.1	2.858341e+02	2.646300e+04	1.5	1.4	0.598	10.8
Vanuatu	2014	Developing	71.7	134	0	0.01	5.648167e+02	64	10	52.5	0	65	5.20	64	0.1	3.148365e+03	2.588500e+04	1.5	1.4	0.596	10.8
Vanuatu	2013	Developing	71.6	135	0	0.01	4.475456e+02	64	0	51.7	0	65	3.92	64	0.1	3.167344e+03	2.531420e+05	1.5	1.4	0.591	10.8
Vanuatu	2012	Developing	71.4	138	0	0.01	4.279885e+02	64	0	5.8	0	65	3.70	64	0.1	3.158587e+03	2.474850e+05	1.5	1.4	0.592	10.8
Vanuatu	2011	Developing	71.2	141	0	0.85	4.579732e+02	63	0	49.9	0	65	3.85	65	0.1	3.275917e+03	2.418710e+05	1.5	1.4	0.591	10.8
Vanuatu	2010	Developing	71.0	145	0	0.91	4.718627e+02	62	0	49.1	0	66	4.71	65	0.1	2.965824e+03	2.362950e+05	1.5	1.4	0.590	10.8
Vanuatu	2009	Developing	78.0	149	0	0.83	3.610941e+02	62	0	48.2	0	66	3.90	66	0.1	2.643441e+03	2.378500e+04	1.5	1.5	0.589	10.7
Vanuatu	2008	Developing	75.0	153	0	1.18	3.453391e+02	61	0	47.4	0	66	3.66	67	0.1	2.697961e+03	2.253400e+04	1.5	1.5	0.582	10.7
Vanuatu	2007	Developing	73.0	157	0	1.01	3.424909e+02	6	0	46.6	0	67	3.67	67	0.1	2.393367e+03	2.199530e+05	1.6	1.5	0.579	10.7
Vanuatu	2006	Developing	71.0	161	0	1.00	4.319781e+01	59	0	45.7	0	67	3.96	68	0.1	2.479782e+02	2.146340e+05	1.6	1.5	0.572	10.6
Vanuatu	2005	Developing	69.9	165	0	0.88	3.372943e+02	61	3	44.9	0	67	3.87	68	0.1	1.886433e+03	2.937000e+03	1.6	1.5	0.000	10.6
Vanuatu	2004	Developing	69.6	169	0	0.85	3.341673e+02	63	0	44.1	0	67	4.12	69	0.1	1.787947e+03	2.414300e+04	1.6	1.5	0.000	10.7
Vanuatu	2003	Developing	69.4	173	0	1.20	2.729839e+01	64	165	43.3	0	67	4.20	69	0.1	1.585272e+02	1.989640e+05	1.6	1.6	0.000	10.4
Vanuatu	2002	Developing	69.3	176	0	1.24	1.711374e+02	66	101	42.6	0	67	3.52	7	0.1	1.353935e+03	1.939560e+05	1.7	1.6	0.000	10.2
Vanuatu	2001	Developing	69.1	179	0	0.91	1.631053e+02	68	7	41.9	0	67	3.37	7	0.1	1.362617e+03	1.892900e+04	1.7	1.6	0.000	10.1
Vanuatu	2000	Developing	69.0	18	0	1.21	2.190075e+01	7	9	41.1	0	67	3.28	71	0.1	1.469849e+03	1.856300e+04	1.7	1.7	0.000	9.6
Venezuela (Bolivarian Republic of)	2015	Developing	74.1	157	9	NA	0.000000e+00	87	0	62.1	10	87	NA	87	0.1	NA	NA	1.6	1.5	0.769	14.3
Venezuela (Bolivarian Republic of)	2014	Developing	73.9	158	9	6.47	0.000000e+00	78	0	61.5	10	79	5.26	78	0.1	NA	NA	1.6	1.5	0.771	14.2
Venezuela (Bolivarian Republic of)	2013	Developing	73.8	159	9	6.71	0.000000e+00	82	0	61.0	10	82	4.94	82	0.1	NA	NA	1.6	1.5	0.770	14.2
Venezuela (Bolivarian Republic of)	2012	Developing	73.7	161	9	6.70	0.000000e+00	81	1	6.4	10	73	4.80	81	0.1	NA	NA	1.6	1.5	0.767	14.1
Venezuela (Bolivarian Republic of)	2011	Developing	73.8	158	9	6.74	0.000000e+00	78	0	59.9	10	78	5.24	78	0.1	NA	NA	1.6	1.5	0.756	14.1
Venezuela (Bolivarian Republic of)	2010	Developing	73.7	158	9	7.22	0.000000e+00	78	0	59.3	10	74	5.40	78	0.1	NA	NA	1.6	1.5	0.754	14.0
Venezuela (Bolivarian Republic of)	2009	Developing	73.6	166	9	7.59	0.000000e+00	84	0	58.8	10	75	5.81	84	0.1	NA	NA	1.6	1.5	0.754	14.0
Venezuela (Bolivarian Republic of)	2008	Developing	73.2	168	9	8.18	0.000000e+00	53	0	58.2	10	76	3.98	5	0.1	NA	NA	1.6	1.5	0.745	13.4
Venezuela (Bolivarian Republic of)	2007	Developing	73.4	165	9	8.70	0.000000e+00	62	32	57.6	10	67	5.25	62	0.1	NA	NA	1.6	1.5	0.728	12.9
Venezuela (Bolivarian Republic of)	2006	Developing	73.6	163	9	8.27	0.000000e+00	71	78	57.1	11	73	4.85	71	0.1	NA	NA	1.6	1.6	0.714	12.4
Venezuela (Bolivarian Republic of)	2005	Developing	73.6	158	9	7.92	0.000000e+00	88	0	56.5	11	8	4.69	87	0.1	NA	NA	1.7	1.6	0.700	11.8
Venezuela (Bolivarian Republic of)	2004	Developing	73.3	161	10	7.55	0.000000e+00	82	0	55.9	11	83	4.78	86	0.1	NA	NA	1.7	1.6	0.687	11.6
Venezuela (Bolivarian Republic of)	2003	Developing	72.4	172	10	6.30	0.000000e+00	72	0	55.3	12	86	4.93	68	0.1	NA	NA	1.7	1.6	0.688	11.6
Venezuela (Bolivarian Republic of)	2002	Developing	73.1	167	10	6.89	0.000000e+00	6	2392	54.7	12	81	4.93	65	0.1	NA	NA	1.7	1.7	0.684	11.0
Venezuela (Bolivarian Republic of)	2001	Developing	72.5	169	10	8.05	0.000000e+00	53	115	54.1	12	87	5.21	7	0.1	NA	NA	1.8	1.7	0.672	10.4
Venezuela (Bolivarian Republic of)	2000	Developing	72.5	168	11	8.01	0.000000e+00	5	22	53.4	13	86	4.91	77	0.1	NA	NA	1.8	1.7	0.670	10.6
Viet Nam	2015	Developing	76.0	127	28	NA	0.000000e+00	97	256	17.5	35	97	NA	97	0.1	NA	NA	14.2	14.5	0.678	12.6
Viet Nam	2014	Developing	75.9	128	28	4.09	0.000000e+00	95	15033	16.7	35	96	7.70	95	0.1	NA	NA	14.3	14.7	0.675	12.5
Viet Nam	2013	Developing	75.7	129	28	4.00	0.000000e+00	59	1123	16.0	35	93	7.17	59	0.1	NA	NA	14.3	14.9	0.668	12.3
Viet Nam	2012	Developing	75.6	13	29	4.12	0.000000e+00	97	578	15.3	36	97	6.96	97	0.1	NA	NA	14.4	15.0	0.662	12.2
Viet Nam	2011	Developing	75.4	131	29	3.94	0.000000e+00	95	750	14.7	36	96	6.20	95	0.1	NA	NA	14.4	15.2	0.655	12.0
Viet Nam	2010	Developing	75.2	133	29	3.93	0.000000e+00	88	2809	14.0	35	94	6.36	93	0.1	NA	NA	14.5	15.4	0.647	11.9
Viet Nam	2009	Developing	75.0	134	29	3.86	0.000000e+00	94	6582	13.4	35	97	6.40	96	0.1	NA	NA	14.6	15.5	0.641	11.7
Viet Nam	2008	Developing	74.9	135	28	3.58	0.000000e+00	87	352	12.9	35	93	5.53	93	0.2	NA	NA	14.7	15.7	0.633	11.6
Viet Nam	2007	Developing	74.7	136	28	3.01	0.000000e+00	67	17	12.3	35	92	6.90	92	0.2	NA	NA	14.9	15.8	0.625	11.4
Viet Nam	2006	Developing	74.6	136	28	2.56	0.000000e+00	93	1978	11.8	35	94	5.56	94	0.2	NA	NA	15.1	15.9	0.618	11.3
Viet Nam	2005	Developing	74.4	136	29	2.70	0.000000e+00	94	410	11.3	36	94	5.38	95	0.2	NA	NA	15.3	16.0	0.609	11.1
Viet Nam	2004	Developing	74.2	136	29	2.86	0.000000e+00	94	217	1.9	36	96	5.90	96	0.2	NA	NA	15.4	16.1	0.601	11.0
Viet Nam	2003	Developing	74.0	137	30	2.19	0.000000e+00	78	2297	1.4	37	96	4.84	99	0.2	NA	NA	15.6	16.2	0.592	10.9
Viet Nam	2002	Developing	73.8	137	30	2.03	0.000000e+00	NA	6755	1.0	39	92	4.70	75	0.2	NA	NA	15.6	16.3	0.584	10.7
Viet Nam	2001	Developing	73.6	138	32	1.84	0.000000e+00	NA	12058	9.6	41	96	5.17	96	0.1	NA	NA	15.7	16.4	0.576	10.6
Viet Nam	2000	Developing	73.4	139	33	1.60	0.000000e+00	NA	16512	9.2	43	96	4.89	96	0.1	NA	NA	15.8	16.4	0.569	10.4
Yemen	2015	Developing	65.7	224	37	NA	0.000000e+00	69	468	41.3	47	63	NA	69	0.1	NA	NA	13.6	13.4	0.499	9.0
Yemen	2014	Developing	65.4	228	37	0.01	0.000000e+00	73	815	4.4	47	67	5.64	73	0.1	NA	NA	13.7	13.5	0.500	9.0
Yemen	2013	Developing	65.4	226	36	0.04	0.000000e+00	73	400	39.6	46	67	5.78	73	0.1	NA	NA	13.7	13.5	0.498	9.0
Yemen	2012	Developing	64.7	236	36	0.04	0.000000e+00	67	2177	38.7	46	68	5.73	67	0.1	NA	NA	13.7	13.6	0.494	9.0
Yemen	2011	Developing	64.6	234	35	0.04	0.000000e+00	69	2676	37.9	45	69	5.40	69	0.1	NA	NA	13.7	13.6	0.493	8.6
Yemen	2010	Developing	64.4	233	35	0.06	0.000000e+00	76	510	37.2	45	77	5.17	76	0.1	NA	NA	13.7	13.7	0.488	8.5
Yemen	2009	Developing	64.1	235	36	0.03	0.000000e+00	76	130	36.4	46	76	5.32	76	0.1	NA	NA	13.8	13.7	0.483	8.4
Yemen	2008	Developing	63.8	238	37	0.04	0.000000e+00	78	7	35.7	47	78	5.12	78	0.1	NA	NA	13.8	13.7	0.480	8.5
Yemen	2007	Developing	63.4	24	38	0.05	0.000000e+00	79	13	35.1	49	79	4.92	79	0.1	NA	NA	13.8	13.8	0.477	8.6
Yemen	2006	Developing	63.0	242	39	0.04	0.000000e+00	78	8079	34.5	51	78	4.82	78	0.1	NA	NA	13.9	13.8	0.475	8.7
Yemen	2005	Developing	62.6	245	40	0.04	0.000000e+00	8	6285	33.9	53	8	4.58	79	0.1	NA	NA	13.9	13.8	0.470	8.6
Yemen	2004	Developing	62.2	247	42	0.06	0.000000e+00	43	12708	33.3	56	72	4.90	72	0.1	NA	NA	13.9	13.9	0.464	8.4
Yemen	2003	Developing	61.9	249	43	0.04	0.000000e+00	38	8536	32.7	58	61	5.00	61	0.1	NA	NA	14.0	13.9	0.457	8.2
Yemen	2002	Developing	61.5	25	45	0.07	0.000000e+00	31	890	32.2	61	64	4.22	65	0.1	NA	NA	14.0	14.0	0.450	8.0
Yemen	2001	Developing	61.1	251	46	0.08	0.000000e+00	19	485	31.7	63	73	4.34	73	0.1	NA	NA	14.0	14.0	0.444	7.9
Yemen	2000	Developing	68.0	252	48	0.07	0.000000e+00	14	0	31.2	66	74	4.14	74	0.1	NA	NA	14.1	14.1	0.436	7.7
Zambia	2015	Developing	61.8	33	27	NA	0.000000e+00	9	9	23.4	40	9	NA	9	4.1	1.313890e+03	1.615870e+05	6.3	6.1	0.576	12.5
Zambia	2014	Developing	61.1	314	28	0.01	1.966676e+02	86	9	22.8	41	78	4.99	86	4.3	1.738882e+03	1.562974e+06	6.3	6.2	0.570	12.5
Zambia	2013	Developing	63.0	328	29	2.41	2.062306e+01	79	35	22.3	42	74	4.99	79	4.8	1.857934e+02	1.515321e+06	6.4	6.2	0.565	12.5
Zambia	2012	Developing	59.2	349	29	2.59	1.969152e+02	78	896	21.7	43	7	4.91	78	5.6	1.734936e+03	1.469994e+07	6.5	6.3	0.554	12.3
Zambia	2011	Developing	58.2	366	29	2.57	1.830462e+02	81	13234	21.2	44	83	4.26	81	6.3	1.644620e+03	1.426476e+07	6.6	6.4	0.543	12.0
Zambia	2010	Developing	58.0	363	30	2.47	1.843649e+02	83	15754	2.7	45	8	4.41	83	6.8	1.463214e+03	1.385330e+05	6.7	6.5	0.533	11.8
Zambia	2009	Developing	57.4	368	30	2.30	1.438699e+02	94	26	2.2	47	93	4.73	94	9.1	1.139112e+03	1.345642e+07	6.7	6.6	0.518	11.6
Zambia	2008	Developing	55.7	45	31	2.12	1.536784e+02	87	140	19.7	49	9	4.87	87	11.9	1.369682e+03	1.382517e+06	6.8	6.7	0.504	11.4
Zambia	2007	Developing	52.6	487	32	2.08	1.085148e+01	8	535	19.2	51	77	4.37	8	13.6	1.145880e+02	1.272597e+07	6.9	6.8	0.492	11.1
Zambia	2006	Developing	58.0	526	33	2.25	1.860004e+00	81	459	18.8	52	83	6.11	81	15.9	1.315420e+01	1.238345e+07	7.0	6.9	0.479	10.9
Zambia	2005	Developing	49.3	554	34	2.33	1.218793e+02	82	45	18.4	55	84	7.56	82	17.0	6.913178e+02	1.252156e+06	7.1	7.0	0.467	10.7
Zambia	2004	Developing	47.9	578	36	2.46	8.369851e+00	NA	35	18.0	59	84	7.33	83	17.6	5.327722e+01	1.173175e+07	7.2	7.1	0.456	10.5
Zambia	2003	Developing	46.4	64	39	2.33	6.578997e+01	NA	881	17.6	62	85	8.18	83	18.2	4.291583e+02	1.142198e+07	7.3	7.2	0.443	10.2
Zambia	2002	Developing	45.5	69	41	2.44	5.404348e+01	NA	25036	17.3	66	85	6.93	84	18.4	3.771352e+02	1.112490e+05	7.4	7.3	0.433	10.0
Zambia	2001	Developing	44.6	611	43	2.61	4.683027e+01	NA	16997	17.1	70	86	6.56	85	18.6	3.782736e+02	1.824125e+06	7.4	7.4	0.424	9.8
Zambia	2000	Developing	43.8	614	44	2.62	4.561688e+01	NA	30930	16.8	72	85	7.16	85	18.7	3.419556e+02	1.531221e+06	7.5	7.5	0.418	9.6
Zimbabwe	2015	Developing	67.0	336	22	NA	0.000000e+00	87	0	31.8	32	88	NA	87	6.2	1.186938e+02	1.577745e+07	5.6	5.5	0.507	10.3
Zimbabwe	2014	Developing	59.2	371	23	6.50	1.082260e+01	91	0	31.3	34	92	6.44	91	6.3	1.274746e+02	1.541168e+07	5.9	5.7	0.498	10.3
Zimbabwe	2013	Developing	58.0	399	25	6.39	1.066671e+01	95	0	3.8	36	95	6.88	95	6.8	1.112274e+02	1.554560e+05	6.2	6.0	0.488	10.4
Zimbabwe	2012	Developing	56.6	429	26	6.09	9.260234e+01	97	0	3.3	39	95	6.69	95	8.8	9.556485e+02	1.471826e+06	6.5	6.4	0.464	9.8
Zimbabwe	2011	Developing	54.9	464	28	6.00	6.375053e+01	94	0	29.9	42	93	6.31	93	13.3	8.399279e+02	1.438665e+07	6.8	6.7	0.452	10.1
Zimbabwe	2010	Developing	52.4	527	29	5.21	5.330858e+01	9	9696	29.4	44	89	5.37	89	15.7	7.136356e+02	1.486317e+06	7.1	7.0	0.436	10.0
Zimbabwe	2009	Developing	50.0	587	30	4.64	1.040021e+00	73	853	29.0	45	69	6.26	73	18.1	6.582412e+01	1.381599e+06	7.5	7.4	0.419	9.9
Zimbabwe	2008	Developing	48.2	632	30	3.56	2.084343e+01	75	0	28.6	46	75	4.96	75	20.5	3.256786e+02	1.355847e+07	7.8	7.8	0.421	9.7
Zimbabwe	2007	Developing	46.6	67	29	3.88	2.981457e+01	72	242	28.2	46	73	4.47	73	23.7	3.969982e+02	1.332999e+06	8.2	8.2	0.414	9.6
Zimbabwe	2006	Developing	45.4	7	28	4.57	3.426217e+01	68	212	27.9	45	71	5.12	7	26.8	4.147962e+02	1.312427e+07	8.6	8.6	0.408	9.5
Zimbabwe	2005	Developing	44.6	717	28	4.14	8.717409e+00	65	420	27.5	43	69	6.44	68	30.3	4.447658e+02	1.294320e+05	9.0	9.0	0.406	9.3
Zimbabwe	2004	Developing	44.3	723	27	4.36	0.000000e+00	68	31	27.1	42	67	7.13	65	33.6	4.543667e+02	1.277751e+07	9.4	9.4	0.407	9.2
Zimbabwe	2003	Developing	44.5	715	26	4.06	0.000000e+00	7	998	26.7	41	7	6.52	68	36.7	4.533512e+02	1.263390e+07	9.8	9.9	0.418	9.5
Zimbabwe	2002	Developing	44.8	73	25	4.43	0.000000e+00	73	304	26.3	40	73	6.53	71	39.8	5.734834e+01	1.255250e+05	1.2	1.3	0.427	10.0
Zimbabwe	2001	Developing	45.3	686	25	1.72	0.000000e+00	76	529	25.9	39	76	6.16	75	42.1	5.485873e+02	1.236617e+07	1.6	1.7	0.427	9.8
Zimbabwe	2000	Developing	46.0	665	24	1.68	0.000000e+00	79	1483	25.5	39	78	7.10	78	43.5	5.473589e+02	1.222225e+07	11.0	11.2	0.434	9.8

In order to perform a successful analysis, it is important to properly understand the variables presented in the data. As we saw above, the dataset contains 22 variables (features). Let’s start by answering the following question:

What does each variable mean and what type of variable is it (Nominal/Ordinal/Interval/Ratio)?

Column Name	Type	Description
Country	Nominal	Country
Year	Ordinal	Data is collected from 2000 - 2015 years
Status	Nominal	Developed or Developing status
Life expectancy	Ratio	Life Expectancy in age
Adult Mortality	Ratio	Adult Mortality Rates of both sexes (probability of dying between 15 and 60 years per 1000 population)
Infant deaths	Ratio	Number of Infant Deaths per 1000 population
Alcohol	Ratio	Alcohol, recorded per capita (15+) consumption (in litres of pure alcohol)
Percentage expenditure	Ratio	Expenditure on health as a percentage of Gross Domestic Product per capita(%)
Hepatitis B	Ratio	Hepatitis B (HepB) immunization coverage among 1-year-olds (%)
Measles	Ratio	Number of reported cases of Measles per 1000 population
BMI	Ratio	Average Body Mass Index of the entire population
Under-five deaths	Ratio	Number of under-five deaths per 1000 population
Polio	Ratio	Polio (Pol3) immunization coverage among 1-year-olds (%)
Total expenditure	Ratio	General government expenditure on health as a percentage of total government expenditure (%)
Diphtheria	Ratio	Diphtheria tetanus toxoid and pertussis (DTP3) immunization coverage among 1-year-olds (%)
HIV/AIDS	Ratio	Deaths per 1 000 live births due to HIV/AIDS (0-4 years)
GDP	Ratio	Gross Domestic Product per capita (in USD)
Population	Ratio	Population of the country
Thinness 1-19 years	Ratio	Prevalence of thinness among children and adolescents for Age 10 to 19 (%)
Thinness 5-9 years	Ratio	Prevalence of thinness among children for Age 5 to 9 (%)
Income composition of resources	Ratio	Human Development Index in terms of income composition of resources (index ranging from 0 to 1)
Schooling	Ratio	Number of years of Schooling (years)

Let’s check whether the columns of our dataframe correspond to the described types above. To do this, we use the command str() to look at the dataset structure:

str(LifeExp)

## 'data.frame':    2938 obs. of  22 variables:
##  $ Country                        : chr  "Afghanistan" "Afghanistan" "Afghanistan" "Afghanistan" ...
##  $ Year                           : int  2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 ...
##  $ Status                         : chr  "Developing" "Developing" "Developing" "Developing" ...
##  $ Life.expectancy                : num  65 59.9 59.9 59.5 59.2 58.8 58.6 58.1 57.5 57.3 ...
##  $ Adult.Mortality                : int  263 271 268 272 275 279 281 287 295 295 ...
##  $ infant.deaths                  : int  62 64 66 69 71 74 77 80 82 84 ...
##  $ Alcohol                        : num  0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.03 0.02 0.03 ...
##  $ percentage.expenditure         : num  71.3 73.5 73.2 78.2 7.1 ...
##  $ Hepatitis.B                    : int  65 62 64 67 68 66 63 64 63 64 ...
##  $ Measles                        : int  1154 492 430 2787 3013 1989 2861 1599 1141 1990 ...
##  $ BMI                            : num  19.1 18.6 18.1 17.6 17.2 16.7 16.2 15.7 15.2 14.7 ...
##  $ under.five.deaths              : int  83 86 89 93 97 102 106 110 113 116 ...
##  $ Polio                          : int  6 58 62 67 68 66 63 64 63 58 ...
##  $ Total.expenditure              : num  8.16 8.18 8.13 8.52 7.87 9.2 9.42 8.33 6.73 7.43 ...
##  $ Diphtheria                     : int  65 62 64 67 68 66 63 64 63 58 ...
##  $ HIV.AIDS                       : num  0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 ...
##  $ GDP                            : num  584.3 612.7 631.7 670 63.5 ...
##  $ Population                     : num  33736494 327582 31731688 3696958 2978599 ...
##  $ thinness..1.19.years           : num  17.2 17.5 17.7 17.9 18.2 18.4 18.6 18.8 19 19.2 ...
##  $ thinness.5.9.years             : num  17.3 17.5 17.7 18 18.2 18.4 18.7 18.9 19.1 19.3 ...
##  $ Income.composition.of.resources: num  0.479 0.476 0.47 0.463 0.454 0.448 0.434 0.433 0.415 0.405 ...
##  $ Schooling                      : num  10.1 10 9.9 9.8 9.5 9.2 8.9 8.7 8.4 8.1 ...

The shown result corresponds to the given dataset description, which means that there were no problems when loading the data. So, we can begin the first part of our statistical analysis, which is data preparation (aka cleaning, wrangling).

Data Wrangling

In this section we will carry out the cleaning of the data. First of all we will check whether some of the variables have missing values (in the form of NaN, NA and Null). If so, we will try to answer: what should be done about them? We will determine whether some columns shall be removed and whether some can be modified or created. After, we will focus our efforts on determining outliers and ways to deal with them.

Before we proceed with the missing values analysis, let’s perform a couple of quick fixes to our data:

• Rename the variable thinness..1.19.years to be more representative of its true meaning (“Prevalence of thinness among children and adolescents for Age 10 to 19 (%)”).

• Convert the character columns to factor columns.

colnames(LifeExp)[colnames(LifeExp) == "thinness..1.19.years"] <- "thinness.10.19.years"

# Convert a character column to a factor column
LifeExp$Year    <- as.factor(LifeExp$Year)
LifeExp$Country <- as.factor(LifeExp$Country)
LifeExp$Status  <- as.factor(LifeExp$Status)

str(LifeExp)

## 'data.frame':    2938 obs. of  22 variables:
##  $ Country                        : Factor w/ 193 levels "Afghanistan",..: 1 1 1 1 1 1 1 1 1 1 ...
##  $ Year                           : Factor w/ 16 levels "2000","2001",..: 16 15 14 13 12 11 10 9 8 7 ...
##  $ Status                         : Factor w/ 2 levels "Developed","Developing": 2 2 2 2 2 2 2 2 2 2 ...
##  $ Life.expectancy                : num  65 59.9 59.9 59.5 59.2 58.8 58.6 58.1 57.5 57.3 ...
##  $ Adult.Mortality                : int  263 271 268 272 275 279 281 287 295 295 ...
##  $ infant.deaths                  : int  62 64 66 69 71 74 77 80 82 84 ...
##  $ Alcohol                        : num  0.01 0.01 0.01 0.01 0.01 0.01 0.01 0.03 0.02 0.03 ...
##  $ percentage.expenditure         : num  71.3 73.5 73.2 78.2 7.1 ...
##  $ Hepatitis.B                    : int  65 62 64 67 68 66 63 64 63 64 ...
##  $ Measles                        : int  1154 492 430 2787 3013 1989 2861 1599 1141 1990 ...
##  $ BMI                            : num  19.1 18.6 18.1 17.6 17.2 16.7 16.2 15.7 15.2 14.7 ...
##  $ under.five.deaths              : int  83 86 89 93 97 102 106 110 113 116 ...
##  $ Polio                          : int  6 58 62 67 68 66 63 64 63 58 ...
##  $ Total.expenditure              : num  8.16 8.18 8.13 8.52 7.87 9.2 9.42 8.33 6.73 7.43 ...
##  $ Diphtheria                     : int  65 62 64 67 68 66 63 64 63 58 ...
##  $ HIV.AIDS                       : num  0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 ...
##  $ GDP                            : num  584.3 612.7 631.7 670 63.5 ...
##  $ Population                     : num  33736494 327582 31731688 3696958 2978599 ...
##  $ thinness.10.19.years           : num  17.2 17.5 17.7 17.9 18.2 18.4 18.6 18.8 19 19.2 ...
##  $ thinness.5.9.years             : num  17.3 17.5 17.7 18 18.2 18.4 18.7 18.9 19.1 19.3 ...
##  $ Income.composition.of.resources: num  0.479 0.476 0.47 0.463 0.454 0.448 0.434 0.433 0.415 0.405 ...
##  $ Schooling                      : num  10.1 10 9.9 9.8 9.5 9.2 8.9 8.7 8.4 8.1 ...

Checking unique values

Let’s have a look at the unique values in our dataset.
We do this just to double check that number of unique values corresponds to the dataset’s description.

num_unique_values <- sapply(LifeExp, function(x) length(unique(x)))

for (i in 1 : ncol(LifeExp)) {
  column_name <- names(LifeExp)[i]
  num_unique <- num_unique_values[i]
  cat(column_name, ": ", num_unique, "\n")
}

## Country :  193 
## Year :  16 
## Status :  2 
## Life.expectancy :  363 
## Adult.Mortality :  426 
## infant.deaths :  209 
## Alcohol :  1077 
## percentage.expenditure :  2328 
## Hepatitis.B :  88 
## Measles :  958 
## BMI :  609 
## under.five.deaths :  252 
## Polio :  74 
## Total.expenditure :  819 
## Diphtheria :  82 
## HIV.AIDS :  200 
## GDP :  2491 
## Population :  2279 
## thinness.10.19.years :  201 
## thinness.5.9.years :  208 
## Income.composition.of.resources :  626 
## Schooling :  174

Missing Values

To address missing values, the following steps can be taken:

• Detection of missing values:
  • Identify null values in the dataset.
  • Consider if there are any alternative representations of missing values, such as zero values.
• Dealing with missing values:
  • Decide whether to fill the null values through imputation or interpolation techniques.
  • Alternatively, consider removing the null values from the dataset if appropriate.

Lets first check the existence of explicit null values.

is.null(LifeExp)

## [1] FALSE

sum(is.na(LifeExp))

## [1] 2563

sum(is.nan(as.matrix(LifeExp)))

## [1] 0

colSums(is.na(LifeExp))

##                         Country                            Year 
##                               0                               0 
##                          Status                 Life.expectancy 
##                               0                              10 
##                 Adult.Mortality                   infant.deaths 
##                              10                               0 
##                         Alcohol          percentage.expenditure 
##                             194                               0 
##                     Hepatitis.B                         Measles 
##                             553                               0 
##                             BMI               under.five.deaths 
##                              34                               0 
##                           Polio               Total.expenditure 
##                              19                             226 
##                      Diphtheria                        HIV.AIDS 
##                              19                               0 
##                             GDP                      Population 
##                             448                             652 
##            thinness.10.19.years              thinness.5.9.years 
##                              34                              34 
## Income.composition.of.resources                       Schooling 
##                             167                             163

As we can see most of the columns contain missing values (NA), resulting in a total of 2563 missing entries. Before we decide how to deal with them, let’s check whether there are some wrong entries, which we call inexplicit nulls. The simplest and fastest way to check for such entries would be to do a quick summary() and look at each variable separately and see if the values make sense based on their descriptions.

summary(LifeExp)

##                 Country          Year             Status     Life.expectancy
##  Afghanistan        :  16   2013   : 193   Developed : 512   Min.   :36.30  
##  Albania            :  16   2000   : 183   Developing:2426   1st Qu.:63.10  
##  Algeria            :  16   2001   : 183                     Median :72.10  
##  Angola             :  16   2002   : 183                     Mean   :69.22  
##  Antigua and Barbuda:  16   2003   : 183                     3rd Qu.:75.70  
##  Argentina          :  16   2004   : 183                     Max.   :89.00  
##  (Other)            :2842   (Other):1830                     NA's   :10     
##  Adult.Mortality infant.deaths       Alcohol        percentage.expenditure
##  Min.   :  1.0   Min.   :   0.0   Min.   : 0.0100   Min.   :    0.000     
##  1st Qu.: 74.0   1st Qu.:   0.0   1st Qu.: 0.8775   1st Qu.:    4.685     
##  Median :144.0   Median :   3.0   Median : 3.7550   Median :   64.913     
##  Mean   :164.8   Mean   :  30.3   Mean   : 4.6029   Mean   :  738.251     
##  3rd Qu.:228.0   3rd Qu.:  22.0   3rd Qu.: 7.7025   3rd Qu.:  441.534     
##  Max.   :723.0   Max.   :1800.0   Max.   :17.8700   Max.   :19479.912     
##  NA's   :10                       NA's   :194                             
##   Hepatitis.B       Measles              BMI        under.five.deaths
##  Min.   : 1.00   Min.   :     0.0   Min.   : 1.00   Min.   :   0.00  
##  1st Qu.:77.00   1st Qu.:     0.0   1st Qu.:19.30   1st Qu.:   0.00  
##  Median :92.00   Median :    17.0   Median :43.50   Median :   4.00  
##  Mean   :80.94   Mean   :  2419.6   Mean   :38.32   Mean   :  42.04  
##  3rd Qu.:97.00   3rd Qu.:   360.2   3rd Qu.:56.20   3rd Qu.:  28.00  
##  Max.   :99.00   Max.   :212183.0   Max.   :87.30   Max.   :2500.00  
##  NA's   :553                        NA's   :34                       
##      Polio       Total.expenditure   Diphtheria       HIV.AIDS     
##  Min.   : 3.00   Min.   : 0.370    Min.   : 2.00   Min.   : 0.100  
##  1st Qu.:78.00   1st Qu.: 4.260    1st Qu.:78.00   1st Qu.: 0.100  
##  Median :93.00   Median : 5.755    Median :93.00   Median : 0.100  
##  Mean   :82.55   Mean   : 5.938    Mean   :82.32   Mean   : 1.742  
##  3rd Qu.:97.00   3rd Qu.: 7.492    3rd Qu.:97.00   3rd Qu.: 0.800  
##  Max.   :99.00   Max.   :17.600    Max.   :99.00   Max.   :50.600  
##  NA's   :19      NA's   :226       NA's   :19                      
##       GDP              Population        thinness.10.19.years
##  Min.   :     1.68   Min.   :3.400e+01   Min.   : 0.10       
##  1st Qu.:   463.94   1st Qu.:1.958e+05   1st Qu.: 1.60       
##  Median :  1766.95   Median :1.387e+06   Median : 3.30       
##  Mean   :  7483.16   Mean   :1.275e+07   Mean   : 4.84       
##  3rd Qu.:  5910.81   3rd Qu.:7.420e+06   3rd Qu.: 7.20       
##  Max.   :119172.74   Max.   :1.294e+09   Max.   :27.70       
##  NA's   :448         NA's   :652         NA's   :34          
##  thinness.5.9.years Income.composition.of.resources   Schooling    
##  Min.   : 0.10      Min.   :0.0000                  Min.   : 0.00  
##  1st Qu.: 1.50      1st Qu.:0.4930                  1st Qu.:10.10  
##  Median : 3.30      Median :0.6770                  Median :12.30  
##  Mean   : 4.87      Mean   :0.6276                  Mean   :11.99  
##  3rd Qu.: 7.20      3rd Qu.:0.7790                  3rd Qu.:14.30  
##  Max.   :28.60      Max.   :0.9480                  Max.   :20.70  
##  NA's   :34         NA's   :167                     NA's   :163

Judging by the summary for the variables, it seems that some values in the dataset may be inaccurate or require further investigation. Here’s a breakdown of the potential issues:

• Adult mortality of 1: It’s highly unlikely for adult mortality to be as low as 1. This could indicate a measurement error. We can set a certain threshold and consider all the values below it as null.

• Infant deaths of 0 and 1800: Having zero infant deaths per 1000 births is implausible, so it’s reasonable to consider such values as null. On the other hand, 1800 infant deaths may be an outlier but could be possible in certain circumstances, such as high birthrates and a relatively small population. Further analysis is needed to determine if it’s an outlier or an accurate measurement.

• BMI of 1 and 87.3: These values seem unrealistic, as it would indicate extreme underweight or obesity across an entire population. These values may be inaccurate or outliers. Considering the nature of this variable, it might be worth investigating further or even disregarding if the data quality is questionable.

• Under Five Deaths at zero: Similar to infant deaths, reporting zero deaths for children under five is highly unlikely. It’s reasonable to treat such values as null or investigate the data source for clarification.

• GDP per capita of 1.68: Extremely low GDP values like 1.68 (in USD) may be implausible. These low values could be outliers or inaccuracies. Further analysis and comparison with reliable sources could help determine their validity.

• Population of 34: A population value of 34 for an entire country appears questionable. It’s likely an outlier or an error in measurement that requires verification or further investigation.

It’s important to note that these are assumptions based on the provided summary statistics and our domain knowledge. More thorough analysis may be necessary to make accurate conclusions about the data’s quality and identify the best approach for handling these inconsistencies.

To gain a deeper understanding of these values, let’s visualize them using boxplots for each variable.

par(mfrow = c(2, 3))
variables <- c('Adult.Mortality', 'infant.deaths', 'BMI', 'under.five.deaths', 'GDP', 'Population')

for (i in 1:length(variables)) {
  boxplot(LifeExp[, variables[i]], main = variables[i])
}

After examining the mentioned values, it appears that some of them could potentially be outliers, while others are most likely errors. To address these inconsistencies, the following modifications will be made, considering that the values are implausible:

• Adult mortality rates lower than the 5th percentile will be treated as null.
  
• Infant deaths of 0 will be considered null.
  
• BMIs below 10 and above 50 will be considered null.
  
• Under Five deaths of 0 will be considered null.
  By making these adjustments, we can handle the values that do not align with reasonable expectations.

num_na_before <- sum(colSums(is.na(LifeExp)))
mort_5_percentile <- quantile(LifeExp$Adult.Mortality[!is.na(LifeExp$Adult.Mortality)], probs = 0.05)
LifeExp$Adult.Mortality <- ifelse(LifeExp$Adult.Mortality < mort_5_percentile, NA, LifeExp$Adult.Mortality)
LifeExp$infant.deaths <- ifelse(LifeExp$infant.deaths == 0, NA, LifeExp$infant.deaths)
LifeExp$BMI <- ifelse(LifeExp$BMI < 10 | LifeExp$BMI > 50, NA, LifeExp$BMI)
LifeExp$under.five.deaths <- ifelse(LifeExp$under.five.deaths == 0, NA, LifeExp$under.five.deaths)

cat(num_na_before, sum(colSums(is.na(LifeExp))))

## 2563 5763

As we can see, we increased the number of missing values from 2563 to 5763. There seems to be a significant number of null values in the dataset. For now, it might be helpful to analyze separately just the columns that contain nulls to gain more insights. The following function aims to achieve this. It identifies and presents the columns that have explicit null values, tracks the total count of such columns along with their positions in the dataframe, and provides the count and percentage of nulls for each specified column.

nulls_breakdown <- function(df) {
  df_cols <- colnames(df)
  cols_total_count <- length(df_cols)
  cols_count <- 0
  for (loc in 1:length(df_cols)) {
    col <- df_cols[loc]
    null_count <- sum(is.na(df[[col]]))
    total_count <- length(df[[col]])
    percent_null <- round(null_count / total_count * 100, 2)
    if (null_count > 0) {
      cols_count <- cols_count + 1
      cat("[", loc - 1, "] ", col, " has ", null_count, " null values: ", percent_null, "% null\n", sep = "")
    }
  }
  cols_percent_null <- round(cols_count / cols_total_count * 100, 2)
  cat("Out of ", cols_total_count, " total columns, ", cols_count, " contain null values; ", cols_percent_null, "% columns contain null values.\n", sep = "")
}

nulls_breakdown(LifeExp)

## [3] Life.expectancy has 10 null values: 0.34% null
## [4] Adult.Mortality has 155 null values: 5.28% null
## [5] infant.deaths has 848 null values: 28.86% null
## [6] Alcohol has 194 null values: 6.6% null
## [8] Hepatitis.B has 553 null values: 18.82% null
## [10] BMI has 1456 null values: 49.56% null
## [11] under.five.deaths has 785 null values: 26.72% null
## [12] Polio has 19 null values: 0.65% null
## [13] Total.expenditure has 226 null values: 7.69% null
## [14] Diphtheria has 19 null values: 0.65% null
## [16] GDP has 448 null values: 15.25% null
## [17] Population has 652 null values: 22.19% null
## [18] thinness.10.19.years has 34 null values: 1.16% null
## [19] thinness.5.9.years has 34 null values: 1.16% null
## [20] Income.composition.of.resources has 167 null values: 5.68% null
## [21] Schooling has 163 null values: 5.55% null
## Out of 22 total columns, 16 contain null values; 72.73% columns contain null values.

Dealing with missing values

Given that approximately half of the values in the BMI variable are null, we decided that it would be the best to exclude this variable from the analysis.

LifeExp <- LifeExp[, !(colnames(LifeExp) %in% c('BMI'))]

When dealing with NA values, there are multiple approaches that can be considered:

• Fill with the mean value: Replace the NA values with the mean value of the respective variable.
• Dropping:
  • Drop all rows that contain at least one NA value: Remove the rows from the dataset that have any NA values.
  • Drop rows that contain more than 50% NA values: Exclude the rows that have more than 50% NA values, while keeping the remaining rows. The NA values can be filled with the mean value.
• Interpolation: If the data represents a time series, interpolation techniques can be applied to estimate the missing values based on the existing data points.

Since we are dealing with time series data assorted by country, the best approach would be to interpolate the data by country. However, from a careful examination of the dataframe it can be seen that there are columns that have null values for each year for some countries. Therefore, we resort to imputation by year, as the second best possible method. This involves replacing the null values with the mean value of each respective year. Imputation of each year’s mean is done in the following code snippet:

imputed_data <- list()

for (year in unique(LifeExp$Year)) {
  year_data <- LifeExp[LifeExp$Year == year, ]
  for (col in colnames(year_data)[4:length(colnames(year_data))]) {
    year_data[, col] <- ifelse(is.na(year_data[, col]), mean(year_data[, col], na.rm = TRUE), year_data[, col])
  }
  imputed_data <- append(imputed_data, list(year_data))
}

LifeExp <- bind_rows(imputed_data)
LifeExp_copy <- LifeExp

nulls_breakdown(LifeExp)

## Out of 21 total columns, 0 contain null values; 0% columns contain null values.

As we can see the missing values have been successfully handled using the interpolation method. We can now proceed to address the issue of outliers. Outliers can have a significant impact on data analysis and modeling, and it is important to identify and handle them appropriately.

Outlier analysis

Outlier analysis is an essential step in exploring and understanding life expectancy data. It helps ensure data quality, identify anomalies and patterns, improve statistical analysis, inform policy decisions, and enhance data visualization and reporting.

Outliers increase the error variance and reduce the power of statistical tests. They can cause bias and/or influence estimates. They can also impact the basic assumption of regression as well as other statistical models.

Similar to missing values, to address the presence of outliers in the data, several steps can be taken:

1. Outlier detection: Identify the outliers in the dataset using appropriate statistical methods or techniques. - Visualization: Create boxplots and histograms to visually inspect the distribution of the data and identify any potential outliers. - Tukey’s method: Apply Tukey’s method or other outlier detection algorithms to determine the presence of outliers based on statistical thresholds or criteria.
2. Outlier treatment: Decide on the approach for handling outliers. Options include: - Dropping outliers: Remove the outlier observations from the dataset. - Limiting/Winsorizing outliers: Cap the extreme values at a predetermined threshold. - Transforming the data: Apply transformations such as logarithmic, inverse, or square root transformations to reduce the impact of outliers.

Each of these steps aims to identify, assess, and appropriately handle the outliers in the dataset to ensure robust analysis and accurate interpretations.

Outlier detection

For each continuous variable in the dataset, a boxplot will be generated, displaying the median, quartiles, and any potential outliers. Additionally, histograms will be created to visualize the frequency distribution of the variable.

By examining these plots, we can visually inspect the data and determine if there are any data points that deviate significantly from the majority of the observations, indicating the presence of potential outliers.

Visually inspecting the data, it is evident that there are several outliers present in the variables, including the target variable (Life expectancy). To statistically identify outliers, Tukey’s method can be applied. This method defines outliers as values that lie outside 1.5 times the interquartile range (IQR). By calculating the quartiles and IQR for each variable, the upper and lower bounds can be determined, and any values outside these bounds can be classified as outliers.

cont_vars <- colnames(LifeExp)[4:length(colnames(LifeExp))]

outlier_counts <- sapply(LifeExp[cont_vars], function(x) {
  q1 <- quantile(x, 0.25)
  q3 <- quantile(x, 0.75)
  iqr <- q3 - q1
  lower_bound <- q1 - 1.5 * iqr
  upper_bound <- q3 + 1.5 * iqr
  outliers <- x < lower_bound | x > upper_bound
  sum(outliers, na.rm = TRUE)
})

outlier_percent <- outlier_counts / nrow(LifeExp) * 100

outliers_df <- data.frame(OutlierCount = outlier_counts, OutlierPercent = outlier_percent)

kable(outliers_df[order(outliers_df$OutlierPercent, decreasing=TRUE), ], format = "markdown")

	OutlierCount	OutlierPercent
Measles	542	18.4479238
HIV.AIDS	542	18.4479238
percentage.expenditure	389	13.2402995
GDP	300	10.2110279
Diphtheria	298	10.1429544
Polio	279	9.4962560
Hepatitis.B	222	7.5561607
Population	203	6.9094622
under.five.deaths	142	4.8332199
infant.deaths	135	4.5949626
Income.composition.of.resources	130	4.4247788
thinness.10.19.years	100	3.4036760
thinness.5.9.years	99	3.3696392
Adult.Mortality	97	3.3015657
Schooling	77	2.6208305
Total.expenditure	51	1.7358747
Life.expectancy	17	0.5786249
Alcohol	3	0.1021103

There seem to be a considerable number of outliers present in this dataset. Now that they have been identified, a question arises: What course of action should be taken regarding them?

Dealing with Outliers

There are several approaches to handling outliers in a dataset, and the typical options are as follows:

1. Discard outliers (preferably avoided to retain maximum information):
   • This involves removing the data points that are considered outliers.
2. Apply boundaries (Winsorization):
   • Set upper and/or lower limits for the values, effectively capping extreme values without removing them entirely.
3. Data transformation:
   • Utilize mathematical transformations such as logarithmic, inverse, square root, etc.
   • Advantages: Can normalize the data and potentially eliminate outliers.
   • Disadvantages: Cannot be applied to variables containing values of zero or below, as it may lead to undefined results.

We attempted to handle outliers using the last approach, which involved applying square root or logarithmic transformations to the LifeExp dataset. However, we found that these methods did not improve the situation. Specifically, when using the log transformation, the number of outliers remained the same and when employing the sqrt transformation, the number of outliers actually increased.

Given that each variable in the dataset exhibits a unique number of outliers and these outliers are distributed on different sides of the data, the most suitable approach would likely involve Winsorizing (limiting) the values for each variable individually until no outliers remain. The provided function bellow enables this process by iterating through each variable and allowing the specification of lower and/or upper limits for Winsorization. By default, the function generates two boxplots side by side for each variable, depicting the original data and the Winsorized data, respectively. Once a satisfactory limit is determined through visual analysis, the Winsorized data is saved in the wins_dict dictionary for convenient future access.

LifeExp <- LifeExp_copy
test_wins <- function(col, lower_limit = 0, upper_limit = 0, show_plot = TRUE) {
  LifeExp_original <- LifeExp[[col]]
  q_low <- quantile(LifeExp[[col]], lower_limit)
  q_up <- quantile(LifeExp[[col]], 1 - upper_limit)
  LifeExp[[col]] <<- pmin(pmax(LifeExp[[col]], q_low), q_up)
  # <<- Allows us to modify variables outside of the local scope of a function.
  
  if (show_plot) {
    ylim <- range(LifeExp_original, na.rm = TRUE)
    par(mfrow = c(1, 2))
    boxplot(LifeExp_original, main = paste0("original\n ", col), ylim = ylim)
    boxplot(LifeExp[[col]], main = paste0("wins=(", lower_limit, ",", upper_limit, ")\n", col), ylim = ylim)
  }
}

test_wins(cont_vars[1], lower_limit = 0.01, show_plot = FALSE)
test_wins(cont_vars[2], upper_limit = 0.04, show_plot = FALSE)
test_wins(cont_vars[3], upper_limit = 0.05, show_plot = FALSE)
test_wins(cont_vars[4], upper_limit = 0.0025, show_plot = FALSE)
test_wins(cont_vars[5], upper_limit = 0.135, show_plot = FALSE)
test_wins(cont_vars[6], lower_limit = 0.1, show_plot = FALSE)
test_wins(cont_vars[7], upper_limit = 0.19, show_plot = FALSE)
test_wins(cont_vars[8], upper_limit = 0.05, show_plot = FALSE)
test_wins(cont_vars[9], lower_limit = 0.1, show_plot = FALSE)
test_wins(cont_vars[10], upper_limit = 0.02, show_plot = FALSE)
test_wins(cont_vars[11], lower_limit = 0.105, show_plot = FALSE)
test_wins(cont_vars[12], upper_limit = 0.185, show_plot = FALSE)
test_wins(cont_vars[13], upper_limit = 0.105, show_plot = FALSE)
test_wins(cont_vars[14], upper_limit = 0.07, show_plot = FALSE)
test_wins(cont_vars[15], upper_limit = 0.035, show_plot = FALSE)
test_wins(cont_vars[16], upper_limit = 0.035, show_plot = FALSE)
test_wins(cont_vars[17], lower_limit = 0.05, show_plot = FALSE)
test_wins(cont_vars[18], lower_limit = 0.025, upper_limit = 0.005, show_plot = FALSE)

After successfully Winsorizing our data, let’s examine how the process has influenced the distribution of values for the modified variables. To simplify the visualization, we have selected four variables and present their boxplots.

Let’s also compare the distributions before and after Winsorization for some of our variables. We can observe that the top two graphs Life Expectancy and Schooling (along with Alcohol, Hepatitis.B, and Total.expenditure, which we decided not to show for simplicity), maintained the same distribution even after Winsorization. On the other hand, the bottom two graphs GDP and Polio (along with infant.deaths, percentage.expenditure, Measles, and under.five.deaths), exhibited slight changes after Winsorization.

p1 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = Life.expectancy), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = Life.expectancy), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("Life Expectancy Winsorization")

p2 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = Schooling), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = Schooling), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("Schooling Winsorization")

p3 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = GDP), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = GDP), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("GDP Winsorization")

p4 <- ggplot() +
  geom_density(data = LifeExp_copy, aes(x = Polio), color = 5, linewidth = 1.2) +
  geom_density(data = LifeExp, aes(x = Polio), color = 2, linewidth = 1, linetype = "twodash") +
  xlab("Polio Winsorization")

grid.arrange(p1, p2, p3, p4, ncol = 2)

Exploratory Data Analysis

Exploratory Data Analysis (EDA) is a crucial process that involves conducting preliminary investigations on data, utilizing summary statistics and visual representations. Its primary objective is to gain a comprehensive understanding of the data’s quality and characteristics before delving into formal statistical modeling.

EDA serves as a means to extract valuable insights from the data by:

• Uncovering patterns: EDA aids in revealing underlying patterns within the data, offering guidance on how it can be effectively modeled. By examining distributions, correlations, and trends, EDA assists in identifying potential relationships and dependencies among variables.

• Inspiring new directions: Through EDA, researchers gain inspiration for further scientific inquiries. By exploring various aspects of the data, unexpected relationships or intriguing phenomena may emerge, prompting researchers to pursue novel research directions and hypotheses.

• Detecting errors: EDA acts as a vigilant eye, capable of identifying evident errors or inconsistencies within the dataset. By visualizing data points, outliers, or illogical values, EDA helps ensure data integrity and accuracy.

• Assessing assumptions: EDA allows for the assessment of underlying assumptions required for formal analyses. By examining the distributional properties of variables, assessing normality, or exploring heterogeneity, EDA helps evaluate the plausibility of assumptions necessary for subsequent statistical modeling.

In the following part we will be answering some questions related to our dataset.

Relevant Questions

Q1. Can we say that Developed countries have more average life expectancy than Developing countries?

ggplot(LifeExp, aes(x = Status, fill = Status)) +
  geom_bar(alpha = 0.6) +
  scale_fill_manual(values = c(2, 5)) +
  labs(title = "Status of Country", x = "Status", y = "Count") +
  theme(axis.text = element_text(size = 8),
        axis.title = element_text(size = 8),
        axis.text.y = element_text(size = 8),
        axis.title.y = element_text(size = 8))

ggplot(LifeExp, aes(x=Life.expectancy, fill=Status)) +
    geom_density(alpha=.5) +
    labs(title  = "Life Expectancy by Status", x ="Life Expectancy", y="Density") +
  scale_fill_manual(values = c(2, 5))

Due to our lack of knowledge regarding the population variance, we will employ a two-sample T-Test instead of a two-sample Z-Test in order to assess the equality of the two means. Prior to conducting the T-Test, it is necessary to determine whether the variances of the two populations are equal. To accomplish this, we will employ an F-Test.

To start, we will filter and group the data by country, allowing us to calculate the average life expectancy for each country over the span of 16 years.

Developing_X <- aggregate(Life.expectancy ~ Country, data = LifeExp %>% filter (Status == "Developing"), FUN = mean)
Developed_Y <- aggregate(Life.expectancy ~ Country, data = LifeExp %>% filter (Status == "Developed"), FUN = mean)

kable(Developing_X[1:5, ], format = "markdown")

Country	Life.expectancy
Afghanistan	58.19375
Albania	75.15625
Algeria	73.61875
Angola	49.03750
Antigua and Barbuda	75.05625

kable(Developed_Y[1:5, ], format = "markdown")

Country	Life.expectancy
Australia	81.81250
Austria	81.48125
Belgium	80.68125
Bulgaria	72.85000
Croatia	76.11875

var.test(Developed_Y$Life.expectancy,Developing_X$Life.expectancy)

## 
##  F test to compare two variances
## 
## data:  Developed_Y$Life.expectancy and Developing_X$Life.expectancy
## F = 0.14793, num df = 31, denom df = 160, p-value = 4.472e-08
## alternative hypothesis: true ratio of variances is not equal to 1
## 95 percent confidence interval:
##  0.08968881 0.27049424
## sample estimates:
## ratio of variances 
##          0.1479263

The observed p-value is less than alpha (0.05 by default). Hence we reject the null hypothesis and accept the alternate statement that the variance of two populations is not equal.

t.test(Developed_Y$Life.expectancy,Developing_X$Life.expectancy, alternative = "greater", var.equal = FALSE)

## 
##  Welch Two Sample t-test
## 
## data:  Developed_Y$Life.expectancy and Developing_X$Life.expectancy
## t = 13.541, df = 126.15, p-value < 2.2e-16
## alternative hypothesis: true difference in means is greater than 0
## 95 percent confidence interval:
##  10.36548      Inf
## sample estimates:
## mean of x mean of y 
##  79.19785  67.38706

The final conclusion is that the null hypothesis is rejected against the alternative hypothesis as the p-value < 0.05. Hence we conclude that life expectancy in developed countries is more than that of developing countries with 95% confidence.

Q2. Is there a statistically significant relationship between the average number of schooling years and life expectancy?

Education creates awareness about healthy living. For example vaccine hesitancy during the COVID-19 period, especially among the rural population, has highlighted the importance of education. Also educated choices regarding lifestyle and personal health is also influenced by the education level.

We will be using the ANOVA test to test the significance of education on life expectancy. Here we will categorize countries into one of the three categories: ‘Low’ (≤8), ‘Medium’ (>8 and ≤12) and ‘High’ (>12) depending upon the country’s average schooling years.

Firstly, we will group the data by country and find the average life expectancy and schooling for each country over the 16 years.

Schooling_X <- aggregate(cbind(Life.expectancy, Schooling) ~ Country, data = LifeExp, FUN = mean)

kable(Schooling_X[1:5, ], format = "markdown")

Country	Life.expectancy	Schooling
Afghanistan	58.19375	8.21250
Albania	75.15625	12.13750
Algeria	73.61875	12.71250
Angola	49.03750	8.06250
Antigua and Barbuda	75.05625	10.68125

x <- Schooling_X %>% filter(Schooling < 8.0)
y <- Schooling_X %>% filter(Schooling > 8.0 & Schooling <= 12.0 )
z <- Schooling_X %>% filter(Schooling < 12.0)

y1 <- data.frame(Life.expectancy = x$Life.expectancy)
y1$Education = 'Low'
y2 <- data.frame(Life.expectancy = y$Life.expectancy)
y2$Education = 'Middle'
y3 <- data.frame(Life.expectancy = z$Life.expectancy)
y3$Education = 'High'

Schooling_Y <- data.frame(rbind(y1,y2,y3))
kable(Schooling_Y[1:5, ], format = "markdown")

Life.expectancy	Education
55.64375	Low
55.53750	Low
48.51250	Low
50.38750	Low
60.75625	Low

Let’s apply the ANOVA test.

Anova_Results <- aov(Life.expectancy ~ Education, data = Schooling_Y)
summary(Anova_Results)

##              Df Sum Sq Mean Sq F value Pr(>F)  
## Education     2    391  195.33   2.977 0.0535 .
## Residuals   176  11549   65.62                 
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

From the ANOVA summary, we can see that the p-value is slightly above the commonly used threshold of 0.05. Therefore, there is weak evidence to suggest that the “Education” factor has a statistically significant effect on the response variable. However, since the p-value is close to 0.05, it is on the borderline of significance.

Q3. Check if countries that spend a higher proportion of their resources on human development have a higher life expectancy?

The term “Income composition of resources” refers to a component of the Human Development Index (HDI), which is a measure used to assess the overall development and well-being of a country’s population. The Income composition of resources specifically focuses on income-related indicators and their contribution to human development.

In the context of the HDI, the Income composition of resources index is a numerical value that ranges from 0 to 1. It reflects the extent to which a country’s income distribution contributes to overall human development.

A higher value of the Income composition of resources index indicates a more equitable distribution of income, where a larger proportion of the population has access to resources and opportunities for development. This suggests that income is shared more evenly among individuals within the country.

Conversely, a lower value of the index indicates a more unequal income distribution, with a smaller proportion of the population having access to resources and opportunities for development. This suggests that income is concentrated in the hands of a smaller segment of the population.

life_expectancy_vs_incomecomp <- ggplot(LifeExp, aes(Income.composition.of.resources, Life.expectancy)) + geom_jitter(color = 2, alpha = 0.3)
life_expectancy_vs_incomecomp

By this scatter plot we can see that The Income composition of resources and their contribution to human development positively influences the Life Expectancy but let’s see the correlation also with the Pearson correlation coefficient.

in_comp_res <-aggregate(cbind(Life.expectancy, Income.composition.of.resources) ~ Country, data = LifeExp, FUN = mean)
kable(in_comp_res[1:5, ], format = "markdown")

Country	Life.expectancy	Income.composition.of.resources
Afghanistan	58.19375	0.415375
Albania	75.15625	0.709875
Algeria	73.61875	0.694875
Angola	49.03750	0.458375
Antigua and Barbuda	75.05625	0.597750

ggscatter(in_comp_res, x = "Income.composition.of.resources", y = "Life.expectancy", add = "reg.line", conf.int = TRUE, cor.coef = TRUE, cor.method = "pearson", xlab = "HDI (Income composition of resources)", ylab = "Life Expectancy")

cor.test(in_comp_res$Income.composition.of.resources,in_comp_res$Life.expectancy )

## 
##  Pearson's product-moment correlation
## 
## data:  in_comp_res$Income.composition.of.resources and in_comp_res$Life.expectancy
## t = 21.191, df = 191, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.7898063 0.8752980
## sample estimates:
##       cor 
## 0.8376092

A correlation coefficient of 0.8376092 indicates a strong positive linear relationship between the variables being correlated, therefore the countries with higher income composition of resources for human development have better life expectancy. Also the regression line explains 84% of variance in the data. Thus countries should spend more on the human development to achieve higher life expectancy.

Q4. Italian Government has claimed that they have spent an average of around 8.41% of their total expenditure on health for the year 2000–2015. Can we test their claim?

We will use a One-Sample t-test and not a One-sample Z-test to test the claim since we have no information about the population variance.

Firstly, we will use a filter to obtain the data for ‘Italy’ and the Total.expenditure column as it denotes % of government expenditure on health out of total government expenditure.

Italy_X <- LifeExp %>% filter (Country == "Italy")
Italy_Y <- Italy_X$Total.expenditure

t.test(Italy_Y, mu = 8.41, alternative = "two.sided")

## 
##  One Sample t-test
## 
## data:  Italy_Y
## t = 1.5893, df = 15, p-value = 0.1328
## alternative hypothesis: true mean is not equal to 8.41
## 95 percent confidence interval:
##  8.320883 9.021617
## sample estimates:
## mean of x 
##   8.67125

We decided to also test India’s claim that they have spent an average of around 5.2% of their total expenditure on health for the year 2000–2015.

India_X <- LifeExp %>% filter (Country == "India")
India_Y <- India_X$Total.expenditure

t.test(India_Y, mu = 5.2, alternative = "two.sided")

## 
##  One Sample t-test
## 
## data:  India_Y
## t = -3.881, df = 15, p-value = 0.001477
## alternative hypothesis: true mean is not equal to 5.2
## 95 percent confidence interval:
##  4.160101 4.897399
## sample estimates:
## mean of x 
##   4.52875

Since 5.2 doesn’t lie in the 95% confidence interval range [4.232587, 4.689913], we can say that the sample doesn’t give enough evidence to accept the claim made by the Indian Government. On the other hand Italy’s claim of 8.4 lies in the 95% CI range of [8.320883, 9.021617].

Q5. What are our observations when comparing the proportions of the number of infant deaths and the number of under-five deaths.

We will conduct a two-proportions z-test to compare the two independent proportions.

Mort_X <- aggregate(cbind(Life.expectancy, infant.deaths, under.five.deaths) ~ Country, data = LifeExp, FUN = mean)
kable(Mort_X[1:5, ], format = "markdown")

Country	Life.expectancy	infant.deaths	under.five.deaths
Afghanistan	58.19375	78.25000	107.56250
Albania	75.15625	12.17719	3.74031
Algeria	73.61875	20.31250	23.50000
Angola	49.03750	83.22500	125.87500
Antigua and Barbuda	75.05625	42.47885	57.22625

infant.deaths column represents the number of infant deaths per 1000 population and similarly, under.five.deaths represents the number of under-five deaths per 1000 population. We have to use the average value of infant or under five deaths of all the countries and take its ceiling value.

mortx <- ceiling(mean(Mort_X$infant.deaths))
morty <- ceiling(mean(Mort_X$under.five.deaths))
argx <- c(mortx,morty)
argy <- c(1000,1000)

prop.test(argx,argy, correct = FALSE)

## 
##  2-sample test for equality of proportions without continuity correction
## 
## data:  argx out of argy
## X-squared = 1.8163, df = 1, p-value = 0.1778
## alternative hypothesis: two.sided
## 95 percent confidence interval:
##  -0.026990111  0.004990111
## sample estimates:
## prop 1 prop 2 
##  0.029  0.040

Since the p- value is greater than 0.05, we see no significant difference in the two independent proportions.The data does not provide sufficient evidence to conclude that there is a meaningful or significant difference between the rates of infant deaths and under-five deaths.

Q6. What is the correlation of Life expectancy with Alcohol drinking habits?

Let’s use the Person correlation test.

Alc_X <- aggregate(cbind(Life.expectancy, Alcohol) ~ Country, data = LifeExp, FUN = mean) 
kable(Alc_X[1:5, ], format = "markdown")

Country	Life.expectancy	Alcohol
Afghanistan	58.19375	0.0143750
Albania	75.15625	4.8487500
Algeria	73.61875	0.7117708
Angola	49.03750	5.7123958
Antigua and Barbuda	75.05625	7.7830208

ggscatter(Alc_X, x = "Alcohol", y = "Life.expectancy", add = "reg.line", conf.int = TRUE, cor.coef = TRUE, cor.method = "pearson", xlab = "Alcohol consumption (in litres of pure alcohol", ylab = "Life Expectancy")

cor.test(Alc_X$Alcohol, Alc_X$Life.expectancy)

## 
##  Pearson's product-moment correlation
## 
## data:  Alc_X$Alcohol and Alc_X$Life.expectancy
## t = 6.6274, df = 191, p-value = 3.397e-10
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.3100919 0.5406181
## sample estimates:
##       cor 
## 0.4323943

The results indicate a statistically significant moderate positive linear relationship (correlation coefficient = 0.43) between alcohol consumption and life expectancy. This suggests that higher levels of alcohol consumption are associated with increased life expectancy, within the range of data analyzed.

However, before jumping to conclusions we need to also take in consideration other factors.

Developed countries tend to have higher levels of alcohol consumption compared to developing countries. This can be attributed to various factors such as higher income levels, greater access to alcohol, more established alcohol industries, and different cultural norms surrounding alcohol. This was also our conclusion from our previous analysis where we concluded that life expectancy in developed countries is more than that of developing countries.

Higher GDP at Developed countries can influence alcohol consumption patterns to some extent. As countries experience economic growth and an increase in GDP, there is often an associated rise in income levels and discretionary spending power. This can lead to increased alcohol consumption.

We can visualize these correlations on the following graphs.

ggplot(LifeExp, aes(x=Alcohol, fill=Status)) +
    geom_density(alpha=.5) +
    labs(title  = "Alcohol consumption by Status", x ="Alcohol", y="Density") +
  scale_fill_manual(values = c(2, 5))

ggplot(LifeExp, aes(x=log(GDP), fill=Status)) +
    geom_density(alpha=.5) +
    labs(title  = "GDP by Status", x ="GDP", y="Density") +
  scale_fill_manual(values = c(2, 5))

life_expectancy_vs_GDP  <- ggplot(LifeExp, aes(GDP, Life.expectancy)) + geom_jitter(color = 2, alpha = 0.3)
life_expectancy_vs_GDP 

Q7. Correlation between Life Expectancy and Immunization.

In COVID-19 times we all have seen the importance of immunization against the virus to increase life expectancy. Can we show that immunization against Polio and Diphtheria has a significant effect on life expectancy?

We will use a two-way ANOVA test. Here we will divide the countries into two categories for both Polio and Diphtheria. Countries having values of % immunization coverage for one-year-old greater than the median value will get category ‘High’ else ‘Low’.

Immun_X <- aggregate(cbind(Life.expectancy, Polio, Diphtheria) ~ Country, data = LifeExp, FUN = mean)
kable(Immun_X[1:5, ], format = "markdown")

Country	Life.expectancy	Polio	Diphtheria
Afghanistan	58.19375	58.6875	59.8750
Albania	75.15625	98.1250	98.0625
Algeria	73.61875	91.7500	91.8750
Angola	49.03750	61.4375	61.6250
Antigua and Barbuda	75.05625	96.9375	98.3125

xx_1 <- Immun_X %>% filter(Polio <= 85)
xx_2 <- Immun_X %>% filter(Polio > 85)
yy_1 <- Immun_X %>% filter(Diphtheria <= 85)
yy_2 <- Immun_X %>% filter(Diphtheria > 85)

zz1 <- data.frame(Life.expectancy = xx_1$Life.expectancy, Country = xx_1$Country)
zz1$Polio = 'Low'
zz2 <- data.frame(Life.expectancy = xx_2$Life.expectancy, Country = xx_2$Country)
zz2$Polio = 'High'
zz3 <- data.frame(Life.expectancy = yy_1$Life.expectancy, Country = yy_1$Country)
zz3$Diphtheria = 'Low'
zz4 <- data.frame(Life.expectancy = yy_2$Life.expectancy, Country = yy_2$Country)
zz4$Diphtheria = 'High'

Immun_Polio <- data.frame(rbind(zz1,zz2))
kable(Immun_Polio[1:5, ], format = "markdown")

Life.expectancy	Country	Polio
58.19375	Afghanistan	Low
49.03750	Angola	Low
70.73125	Azerbaijan	Low
57.56875	Benin	Low
67.70625	Bolivia (Plurinational State of)	Low

Immun_Diphtheria <- data.frame(rbind(zz3,zz4))
kable(Immun_Diphtheria[1:5, ], format = "markdown")

Life.expectancy	Country	Diphtheria
58.19375	Afghanistan	Low
49.03750	Angola	Low
70.73125	Azerbaijan	Low
57.56875	Benin	Low
75.96875	Bosnia and Herzegovina	Low

Immun_Y <- merge(Immun_Polio, Immun_Diphtheria, by = "Country")
kable(Immun_Y[1:5, ], format = "markdown")

Country	Life.expectancy.x	Polio	Life.expectancy.y	Diphtheria
Afghanistan	58.19375	Low	58.19375	Low
Albania	75.15625	High	75.15625	High
Algeria	73.61875	High	73.61875	High
Angola	49.03750	Low	49.03750	Low
Antigua and Barbuda	75.05625	High	75.05625	High

Anova_Results_1 <- aov(Life.expectancy.x ~ Polio + Diphtheria, data = Immun_Y)
summary(Anova_Results_1)

##              Df Sum Sq Mean Sq F value   Pr(>F)    
## Polio         1   5597    5597  117.46  < 2e-16 ***
## Diphtheria    1    631     631   13.25 0.000352 ***
## Residuals   190   9053      48                     
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

The p-value for both Polio and Diphtheria immunization coverage for one-year old is less than 0.05, hence we can say that immunization has a significant impact on the life expectancy.

life_expectancy_vs_Diphtheria  <- ggplot(LifeExp, aes(Diphtheria, Life.expectancy)) + geom_jitter(color = 5, alpha = 0.3)
                              
life_expectancy_vs_Polio  <- ggplot(LifeExp, aes(Polio, Life.expectancy)) + geom_jitter(color = 2, alpha = 0.3)

p <- plot_grid(life_expectancy_vs_Diphtheria, life_expectancy_vs_Polio) 
title <- ggdraw() + draw_label("Correlation between Immunizations and life expectancy", fontface='bold')
plot_grid(title,p, ncol=1)

Constructing Correlation Matrix

We can get a comprehensive view of the relationships between multiple variables by calculating pairwise correlations between them. Our heat correlation map is a visual representation of a correlation matrix that uses color gradients to display the strength and direction of relationships between variables. It provides a concise and intuitive way to identify patterns and assess the strength of correlations.

The Darker shades of blue indicate of stronger correlation between variables and on the contrary the lighter shades indicate weaker bonds.

# Compute the correlation matrix
numeric_vars <- LifeExp[, sapply(LifeExp, is.numeric)]
cor_matrix <- cor(numeric_vars)

# Plot the correlation matrix
color_palette = brewer.pal(11, "Blues")
corrplot::corrplot(cor_matrix, method = "color", type = "upper", tl.cex = 0.7, col = color_palette, tl.col = "black" )

Network plot

cor_matrix %>% corrr::network_plot(min_cor = .3)

In order to also maybe closely visualize the connection and direction of our variables we constructed a Network plot. From this plot we can make some conclusions but because there are a lot of variables included in the network plot visualization, it is not intuitive, therefore we decided to also make a star graph with the target variable Life.expectancy that will also be useful later for Linear Regression.

We can see that the bolder lines connecting the Life Expectancy Variable with the other Independent Variables indicate stronger bonds, as well as the size of the circles.

Star Graph

# Subset the relevant variables for the star graph

cor_matrix_1 <- cor(numeric_vars, use = "pairwise.complete.obs")
cor_values <- cor_matrix_1[1, -1]

graph <- graph.star(n = length(cor_values) + 1, mode = "undirected")
V(graph)$name <- colnames(numeric_vars)
V(graph)$size <- c(5, 10 + 40 * abs(cor_values))
E(graph)$width <- abs(cor_values) * 5
layout <- layout.star(graph)
plot_size <- c(15, 15)


plot(graph, layout = layout, edge.arrow.size = 0.5, vertex.size = V(graph)$size,
     vertex.label.color = "black", vertex.label.font = 2, edge.width = E(graph)$width,
     xlim = c(-1, 1), ylim = c(-1, 1), asp = 1, frame.plot = FALSE, main = "Correlation Graph",
     vertex.label.dist = 1.5, vertex.label.cex = 0.8, cex = 0.8, cex.main = 1.2, cex.lab = 0.9,
     cex.axis = 0.8, vertex.color = "lightblue", vertex.frame.color = "black", vertex.shape = "circle",
     vertex.label.family = "sans", vertex.label.just = c(0.5, 0.5), vertex.label.degree = 0,
     bg = "white", pch = 21, lty = 1, col = "black", bg = "white", rescale = FALSE,
     width = plot_size[1], height = plot_size[2])

Linear Regression

After completing the data cleaning process and exploring and engineering features, we can now move on to the main phase of this project: making predictions using linear regression. Initially, we will examine the effectiveness of a simple linear regressor (using only one feature). Then, we will progress to employing all the features through multiple linear regression or selecting a subset of features using appropriate techniques for feature selection.

Based on the exploratory data analysis (EDA), it is evident that our target variable, “Life expectancy,” demonstrates very high correlation with “Adult mortality.” However, upon examining the scatter plot, it appears that this variable may not be suitable for linear regression. Therefore, we proceed by choosing the another variable, namely “Income.composition.of.resources”, which is actually the most correlated with our target variable. By observing the scatter plot for this particular variable, we can notice a linear trend.

Before we start, the question of whether to perform feature scaling arises. Feature scaling is not an absolute necessity for linear regression. The algorithm calculates the coefficients for each feature by computing the differences between the feature values and their mean. Therefore, feature scaling does not have a direct impact on the coefficients obtained from the linear regression model.

However, considering the benefits of feature scaling, such as ensuring consistent and meaningful comparisons, and the fact that it is a mandatory step when using regularization techniques, we have chosen to scale the data at the outset.

Afterward, to ensure unbiased evaluations, we proceed by randomly partitioning our dataset into separate training and test sets. For models that require cross-validation, we will utilize a portion of the training set as a validation set.

test <- LifeExp$Year %in% c('2015', '2014', '2013')

df_test <- LifeExp[test, ]
df_train <- LifeExp[!test, ]

test <- subset(df_test, select = -c(Year, Country))
train <- subset(df_train, select = -c(Year, Country))

cat("Train size: ", nrow(train)/nrow(LifeExp)*100, "\nTest size: ", nrow(test)/nrow(LifeExp)*100)

## Train size:  80.97345 
## Test size:  19.02655

Y_colname <- "Life.expectancy"
X_colnames <- colnames(test)[colnames(test) != Y_colname]

df_metrics_regression <- data.frame(Model_name = character(),
                                    Adj_R2 = numeric(),
                                    AIC = numeric(),
                                    BIC = numeric(),
                                    n_coef = numeric(),
                                    MSE = numeric(),
                                    RMSE = numeric(),
                                    n_RMSE_sd = numeric(),
                                    n_RMSE_range = numeric())
colnames(df_metrics_regression) <- c("Model_name", "Adj_R2", "AIC", "BIC", "n_coef", "MSE", "RMSE", "n_RMSE_sd", "n_RMSE_range")

Simple linear regression

The linear regression equation is given by: \[ Y = \beta_0 + \beta_1 \cdot x + \varepsilon \]
where \(\beta_0\) represents the intercept, \(\beta_1\) represents the coefficient for the chosen feature “Income.composition.of.resources” and \(\varepsilon\) represents a random error.

simple_lm <- lm(Life.expectancy ~ Income.composition.of.resources, data = train)
summary(simple_lm)

## 
## Call:
## lm(formula = Life.expectancy ~ Income.composition.of.resources, 
##     data = train)
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -19.6600  -2.1212   0.1383   2.5980  24.8166 
## 
## Coefficients:
##                                 Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                      41.6751     0.4631   89.98   <2e-16 ***
## Income.composition.of.resources  42.9837     0.7090   60.63   <2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 6.047 on 2377 degrees of freedom
## Multiple R-squared:  0.6073, Adjusted R-squared:  0.6071 
## F-statistic:  3676 on 1 and 2377 DF,  p-value: < 2.2e-16

The analysis reveals that the variable “Income.composition.of.resources” has a moderate-to-high level of explanatory power, as indicated by an R-squared value of 0.6071. This means that approximately 60.71% of the variability in life expectancy can be attributed to this variable.

Both the intercept and the coefficient associated with “Income.composition.of.resources” are highly significant, as indicated by the p-values being less than 0.05. The F-statistic also supports this finding, with a value of 3676 and an extremely low p-value, suggesting that the observed relationship is not due to chance.

The formula for the regression line can be expressed as follows:
Life.Expectancy = 42.9837 + 41.6751 * Income.composition.of.resources
and it is visualized bellow.

ggplot(train, aes(x = Income.composition.of.resources, y = Life.expectancy)) +
  geom_jitter(color = 5, size = 2, alpha = 0.4) +
  labs(x = "Income composition of resources", y = "Life expectancy") +
  theme(axis.text = element_text(size = 8),
        axis.title.x = element_text(size = 12),
        axis.title.y = element_text(size = 12)) +
  geom_abline(slope = coef(simple_lm)["Income.composition.of.resources"],
              intercept = coef(simple_lm)["(Intercept)"],
              color = 2, linetype = "solid", linewidth = 1.2)

That’s not the whole picture though. Residuals could show how poorly a model represents data. Residuals are leftover of the outcome variable after fitting a model (predictors) to data, and they could reveal patterns in the data unexplained by the fitted model. Using this information, not only we can check if linear regression assumptions are met, but we can improve our model in an exploratory way.

Let’s now have a look at the diagnostic plots, in order to check whether Linear regression assumptions are met. These assumptions include:

1. Linearity: There should be a linear relationship between the predictors (x) and the outcome (y). This implies that the relationship between the variables can be adequately captured by a straight line or a linear combination of predictors.

2. Homoscedasticity: The residual errors should have a constant variance across the range of predicted values. This assumption implies that the spread of residuals is consistent, regardless of the predicted values.

3. Independence of error terms: The residual errors should be independent of each other and independent of the predictor variables (x). Independence of residuals assumes that the errors are not influenced by any patterns or structures in the data that are not captured by the predictor variables.

4. Error term with mean zero: The residual errors (the differences between the observed outcome and the predicted outcome) should have a mean value of zero. This assumption assumes that, on average, the model is unbiased in its predictions.

It is important to assess these assumptions before relying on the results of a linear regression model to ensure the validity of the model and the reliability of the inferences drawn from it.

par(mfrow = c(2, 2))
plot(simple_lm)

Residuals vs Fitted

This plot shows if residuals have non-linear patterns. There could be a non-linear relationship between predictor variables and the outcome variable, and the pattern could show up in this plot if the model doesn’t capture the non-linear relationship. In our case, we find almost equally spread residuals around a horizontal line without distinct patterns. So, this is a good indication that we don’t have non-linear relationships.

Normal Q-Q

This plot shows if residuals are normally distributed. Do residuals follow a straight line well or do they deviate severely? Thus for small sample sizes, it can’t be assumed that the estimator \(\hat{\beta}\) isn’t Gaussian either, meaning the standard confidence intervals and significance tests are invalid. Our plot shows many points lying on the dotted line, however the rightmost and leftmost points are deviating from the line, suggesting slight right and left skewness.

Scale-Location

It’s is also called a Spread-Location plot. This plot shows if residuals are spread equally along the ranges of predictors. This is how we can check the assumption of equal variance (homoscedasticity). It’s good if we see a horizontal line with equally (randomly) spread points. In our case the red line deviates a little from horizontal, showing small presence of heteroskedasticity.

Residuals vs Leverage

Leverage refers to the extent to which the coefficients in the regression model would change if a particular observation was removed from the dataset. Here, we watch out for outlying values at the upper right corner or at the lower right corner. Those spots are the places where cases can be influential against a regression line. When cases are outside of the dashed lines (meaning they have high “Cook’s distance” scores), the cases are influential to the regression results. The regression results will be altered if we exclude those cases.
We can observe that there are not any influential points in our regression model.

By the previous analysis, we can conclude that our data is behaving linearly as we expected, but it does show a degree of heteroscedasticity.

pred <- predict(simple_lm, newdata = test)
rmse <- sqrt(mean((test$Life.expectancy - pred)^2))
normalized_rmse_std <- sqrt(mean((pred - test$Life.expectancy)^2)) / sd(test$Life.expectancy)
normalized_rmse_range <- sqrt(mean((pred - test$Life.expectancy)^2)) / diff(range(test$Life.expectancy))
cat("RMSE =", round(rmse, 3))

## RMSE = 4.39

cat("\nNormalized RMSE (sd)    =", round(normalized_rmse_std, 3))

## 
## Normalized RMSE (sd)    = 0.53

cat("\nNormalized RMSE (range) =", round(normalized_rmse_range, 3))

## 
## Normalized RMSE (range) = 0.107

The normalized RMSE (sd) is 0.53, indicating that the model’s predictions have an error of around 53% of the standard deviation of the target variable. The normalized RMSE (range) is 0.107, suggesting that the model’s predictions have an error of approximately 10.7% of the range of the target variable.

Multiple linear regression

In this section we will train a regression model using multiple features. As part of the process we will select the most important features for the model using backward and forward selection and also check how well it performs on a test set.

full_lm <- lm(train[,Y_colname] ~ ., data = train[, X_colnames])
summary(full_lm)

## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames])
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -15.501  -2.142   0.054   2.097  14.789 
## 
## Coefficients:
##                                   Estimate Std. Error t value Pr(>|t|)    
## (Intercept)                      6.289e+01  8.827e-01  71.246  < 2e-16 ***
## StatusDeveloping                -1.559e+00  2.815e-01  -5.538 3.40e-08 ***
## Adult.Mortality                 -1.631e-02  8.921e-04 -18.286  < 2e-16 ***
## infant.deaths                    1.327e-04  1.231e-02   0.011  0.99140    
## Alcohol                          4.322e-02  2.751e-02   1.571  0.11632    
## percentage.expenditure           2.052e-03  3.343e-04   6.137 9.82e-10 ***
## Hepatitis.B                     -3.905e-02  7.169e-03  -5.447 5.64e-08 ***
## Measles                         -1.206e-03  2.740e-04  -4.402 1.12e-05 ***
## under.five.deaths               -1.238e-02  8.604e-03  -1.439  0.15024    
## Polio                            2.736e-02  9.939e-03   2.753  0.00595 ** 
## Total.expenditure                4.768e-02  3.651e-02   1.306  0.19165    
## Diphtheria                       6.145e-02  1.023e-02   6.006 2.19e-09 ***
## HIV.AIDS                        -5.658e+00  1.626e-01 -34.797  < 2e-16 ***
## GDP                             -1.102e-05  2.357e-05  -0.468  0.64008    
## Population                       1.119e-08  9.796e-09   1.142  0.25363    
## thinness.10.19.years             1.066e-01  5.833e-02   1.827  0.06782 .  
## thinness.5.9.years              -2.276e-01  5.734e-02  -3.969 7.43e-05 ***
## Income.composition.of.resources  1.223e+01  9.915e-01  12.331  < 2e-16 ***
## Schooling                        1.086e-01  5.413e-02   2.006  0.04502 *  
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.743 on 2360 degrees of freedom
## Multiple R-squared:  0.8506, Adjusted R-squared:  0.8495 
## F-statistic: 746.5 on 18 and 2360 DF,  p-value: < 2.2e-16

The summary indicates that the residuals are symmetrically distributed, with a median almost equal to 0 (0.054). We will examine the residuals more closely later. The full Linear regression model explains 84.95% of the variance associated with the response variable. The F-statistic is 746.5 (>> 1), and its p-value is nearly 0, providing clear evidence against the null hypothesis that all coefficients are equal to zero. This means that at least one variable is associated with the response. The p-values of the predictor variables allow us to determine their significance. Variables with lower p-values are more significant in relation to the response. Notably, features such as infant.deaths, Alcohol, under.five.deaths, and GDP are not statistically significant in our model.

To check the multicollinearity in our data we will look at the Variance Inflation Factors (VIF):

vif_values <- vif(full_lm)
sorted_vif <- sort(vif_values, decreasing = TRUE)
vif_table <- data.frame(VIF = sorted_vif)
kable(vif_table, format = "markdown")

	VIF
under.five.deaths	18.741587
infant.deaths	17.574420
thinness.10.19.years	9.144831
thinness.5.9.years	9.014553
Income.composition.of.resources	5.103967
Schooling	4.828482
Diphtheria	4.223635
Polio	3.963522
percentage.expenditure	2.818810
GDP	2.754848
HIV.AIDS	2.156189
Alcohol	2.043490
Status	1.941817
Hepatitis.B	1.648238
Adult.Mortality	1.638067
Measles	1.437989
Total.expenditure	1.215365
Population	1.159776

It is generally desirable to have VIF values as small as possible, closer to 1, which indicates low levels of collinearity. As a rule of thumb VIF = 5 is taken as a threshold, and any independent variable with VIF > 5 will have to be removed, due to problematic amount of collinearity.

The VIF values for under.five.deaths, infant.deaths, thinness.10.19.years, thinness.5.9.years and Income.composition.of.resources have high values (> 5) that indicate collinearity problem. Therefore, we’ve decided to remove them from the model.

cols_to_remove <- c("under.five.deaths", "infant.deaths", "thinness.10.19.years", "thinness.5.9.years", "Income.composition.of.resources")
X_colnames_reduced <- X_colnames[!(X_colnames %in% cols_to_remove)]

full_lm_low_vif <- lm(train[,Y_colname] ~ ., data = train[, X_colnames_reduced])
summary(full_lm_low_vif)

## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames_reduced])
## 
## Residuals:
##     Min      1Q  Median      3Q     Max 
## -15.922  -2.304   0.034   2.255  14.592 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)             6.297e+01  8.568e-01  73.493  < 2e-16 ***
## StatusDeveloping       -1.810e+00  2.921e-01  -6.194 6.89e-10 ***
## Adult.Mortality        -1.848e-02  9.228e-04 -20.022  < 2e-16 ***
## Alcohol                 7.458e-02  2.827e-02   2.638  0.00838 ** 
## percentage.expenditure  2.577e-03  3.485e-04   7.396 1.93e-13 ***
## Hepatitis.B            -3.605e-02  7.498e-03  -4.808 1.62e-06 ***
## Measles                -1.601e-03  2.726e-04  -5.874 4.86e-09 ***
## Polio                   3.241e-02  1.041e-02   3.112  0.00188 ** 
## Total.expenditure       1.911e-02  3.748e-02   0.510  0.61016    
## Diphtheria              7.038e-02  1.069e-02   6.583 5.67e-11 ***
## HIV.AIDS               -6.004e+00  1.663e-01 -36.095  < 2e-16 ***
## GDP                     1.781e-05  2.453e-05   0.726  0.46792    
## Population              6.062e-09  1.018e-08   0.595  0.55159    
## Schooling               5.915e-01  4.277e-02  13.830  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.927 on 2365 degrees of freedom
## Multiple R-squared:  0.8352, Adjusted R-squared:  0.8343 
## F-statistic: 922.3 on 13 and 2365 DF,  p-value: < 2.2e-16

As we can see after removing columns with high VIF, the R-squared value decreased. However, it is important to note that the primary goal of removing variables with high VIF is to address the issue of collinearity and improve the model’s reliability and interpretability. We expect the adjusted model to be more appropriate for analysis and inference.

Let’s now have a look at the diagnostic plots.

par(mfrow=c(2,2))
plot(full_lm_low_vif)

Fitted vs Residual graph
The red line is very close to zero and the spread of the residuals is approximately the same across the x axis, so we have no discernible non-linear trends or indications of non-constant variance.

Normal Q-Q Plot
After removing columns with high VIF, it is evident that the heteroscedasticity problem has improved. The deviation is not as serious anymore. However, the residuals still deviate from the diagonal line in both the upper and lower tails. This plot suggests that the tails have smaller values than what we would anticipate under the standard modeling assumptions, indicating a “lighter” distribution.

Scale-Location
This plot has also improved. The red line deviates only slightly from the horizontal, indicating a very small presence of heteroscedasticity.

Residuals vs Leverage
In this plot we see no evidence of outliers. The “Cook’s distance” dashed curves don’t even appear on the plot. None of the points come close to having both high residual and leverage.

Linear model (forward / backward model selection)

Next, we can explore approaches to reduce the variance of the model, namely backward and forward model selection. Empirically, backward selection tends to perform better in this regard. However, we also retain the forward selection method for comparison purposes.

nvmax <- 2 * (length(full_lm_low_vif$coefficients) - 1) # 2 x number of variables

forward_sel_lm = regsubsets(train[,Y_colname] ~., data = train[, X_colnames_reduced], method = 'forward', nvmax = nvmax)
backward_sel_lm = regsubsets(train[,Y_colname] ~., data = train[, X_colnames_reduced], method = 'backward', nvmax = nvmax)

plot_max_point <- function(values){
  max_idx = which.max(values)
  points(max_idx, values[max_idx], col = 'red', cex = 2, pch = 20)
}

plot_min_point <- function(values){
  min_idx = which.min(values)
  points(min_idx, values[min_idx], col = 'red', cex = 2, pch = 20)
}

plot_subsets_summary <- function(featureSelection_lm){
  
  featureSelection_lm_summary <- summary(featureSelection_lm)

  xlabel = 'Number of iterations'
  
  par(mfrow = c(3, 1))
  
  adjr2_list <- featureSelection_lm_summary$adjr2
  max_adjr2_idx <- which.max(adjr2_list)
  plot(adjr2_list, xlab = xlabel, ylab = 'Adjusted R2', type = 'l')
  plot_max_point(values = adjr2_list) # The model with highest value is the best model.
  text(x = max_adjr2_idx, y = adjr2_list[max_adjr2_idx], labels = max_adjr2_idx, pos = 1)
  
  cp_list <- featureSelection_lm_summary$cp
  min_cp_idx <- which.min(cp_list)
  plot(cp_list, xlab = xlabel, ylab = 'Cp', type = 'l')
  plot_min_point(values = cp_list) # The model with least value is the best model.
  text(x = min_cp_idx, y = cp_list[min_cp_idx], labels = min_cp_idx, pos = 3)
  
  bic_list <- featureSelection_lm_summary$bic
  min_bic_idx <- which.min(bic_list)
  plot(bic_list, xlab = xlabel, ylab = 'BIC', type = 'l')
  plot_min_point(values = bic_list) # The model with least value is the best model.
  text(x = min_bic_idx, y = bic_list[min_bic_idx], labels = min_bic_idx, pos = 3)
}

Both feature selection techniques yielded the same results. So, for simplicity, we will show the results only for the backward selection method.

#plot_subsets_summary(forward_sel_lm)
plot_subsets_summary(backward_sel_lm)

From the graphs it is evident that different statistical measures, such as Cp, BIC, and Adjusted R-squared, share a consensus regarding the number of variables that should be chosen. All three measures advocate for the removal of three variables from the model, resulting in a reduction from 13 to 10 variables.

# Get the chosen variables according to each statistical measure
backward_sel_lm_summary <- summary(backward_sel_lm)
vars_adjr2 <- names(coefficients(backward_sel_lm, which.max(backward_sel_lm_summary$adjr2)))
vars_cp <- names(coefficients(backward_sel_lm, which.min(backward_sel_lm_summary$cp)))
vars_bic <- names(coefficients(backward_sel_lm, which.min(backward_sel_lm_summary$bic)))

vars_full_model <- names(coef(full_lm_low_vif))
selected_vars_df <- data.frame(Feature = vars_full_model, AdjR2 = 0, Cp = 0, BIC = 0)
selected_vars_df$AdjR2 <- as.numeric(selected_vars_df$Feature %in% vars_adjr2)
selected_vars_df$Cp <- as.numeric(selected_vars_df$Feature %in% vars_cp)
selected_vars_df$BIC <- as.numeric(selected_vars_df$Feature %in% vars_bic)

# Remove the intercept
selected_vars_df <- selected_vars_df[-1, ]

kable(selected_vars_df, row.names = FALSE, format = "markdown")

Feature	AdjR2	Cp	BIC
StatusDeveloping	1	1	1
Adult.Mortality	1	1	1
Alcohol	1	1	1
percentage.expenditure	1	1	1
Hepatitis.B	1	1	1
Measles	1	1	1
Polio	1	1	1
Total.expenditure	0	0	0
Diphtheria	1	1	1
HIV.AIDS	1	1	1
GDP	0	0	0
Population	0	0	0
Schooling	1	1	1

The feature selection algorithm consistently suggests that the variables “Total.expenditure”, “GDP” and “Population” should be eliminated from the final model. This recommendation is supported by all three statistical measures. From a practical standpoint, there are valid reasons for excluding these variables:

1. Population: Including the population of a country in the model is unlikely to have a direct impact on life expectancy. Therefore, it can be deemed unnecessary for predicting life expectancy accurately.

2. Total.expenditure: The information conveyed by the “Total.expenditure” variable is largely captured by the “percentage.expenditure” variable. Hence, including both variables in the model would introduce redundancy without significantly enhancing our understanding.

3. GDP: The GDP variable, although highly informative, is partly captured by the variables percentage.expenditure, Status, and Schooling. Therefore, to rely on the feature selection method, we will exclude it from our model.

By excluding these variables, the final model becomes more concise and interpretable without compromising the explained variance to a great extent. However, it is essential to verify the impact on explained variance before drawing a definitive conclusion.

To represent the most significant variables, here we report the variable elimination plots:

plot(backward_sel_lm, scale = 'r2')

plot(backward_sel_lm, scale = 'bic')

plot(backward_sel_lm, scale = 'Cp')

Based on the regsubsets plot, we reach the same conclusion as before. Therefore, we will proceed with removing the variables “GDP”, “Population” and “Total.expenditure” from our model. After removing these variables, we will retrain the multiple linear regressor using the updated set of features.

cols_to_remove <- c("GDP", "Population", "Total.expenditure")
X_colnames_reduced_featureSel <- X_colnames_reduced[!(X_colnames_reduced %in% cols_to_remove)]

featureSel_lm <- lm(train[,Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
summary(featureSel_lm)

## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -15.9567  -2.3138   0.0302   2.2438  14.6893 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)            63.0689595  0.8337136  75.648  < 2e-16 ***
## StatusDeveloping       -1.8360729  0.2880656  -6.374 2.21e-10 ***
## Adult.Mortality        -0.0184493  0.0009220 -20.011  < 2e-16 ***
## Alcohol                 0.0781380  0.0279567   2.795  0.00523 ** 
## percentage.expenditure  0.0027274  0.0002653  10.281  < 2e-16 ***
## Hepatitis.B            -0.0358656  0.0074847  -4.792 1.75e-06 ***
## Measles                -0.0015676  0.0002631  -5.959 2.91e-09 ***
## Polio                   0.0328776  0.0104009   3.161  0.00159 ** 
## Diphtheria              0.0701884  0.0106717   6.577 5.89e-11 ***
## HIV.AIDS               -6.0173818  0.1652758 -36.408  < 2e-16 ***
## Schooling               0.5962077  0.0425159  14.023  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.925 on 2368 degrees of freedom
## Multiple R-squared:  0.8352, Adjusted R-squared:  0.8345 
## F-statistic:  1200 on 10 and 2368 DF,  p-value: < 2.2e-16

The variance explained by the model is 83.45%, which is nearly identical to the previous result (83.43%) achieved with the full model that included all variables except those displaying multicollinearity issues.

Let’s now have a look at the diagnostic plots of the new model.

par(mfrow=c(2,2))
plot(featureSel_lm)

We can observe that the distribution has “fat” tails - both the ends of the Q-Q plot deviate from the straight line and its center follows a straight line. We refer to this as positive kurtosis (a measure of “tailedness”).

ggplot(data = featureSel_lm, aes(x = featureSel_lm$residuals)) +
  geom_histogram(fill = 2, color = "white", alpha = 0.5, bins = 30) +
  labs(x = "Residuals", y = "Count", title = "Histogram of Residuals")

The histogram of the residuals shows a pattern that closely resembles a normal distribution. However, it is still necessary to perform statistical tests to confirm the assumption of normality of the residuals.

Addressing heteroskedasticity

shapiro.test(residuals(featureSel_lm))

## 
##  Shapiro-Wilk normality test
## 
## data:  residuals(featureSel_lm)
## W = 0.99042, p-value = 1.751e-11

In the context of the Shapiro-Wilk test, the null hypothesis is that the data is normally distributed. Since the p-value is significantly small (<< 0.05), it suggests strong evidence to reject the null hypothesis. Therefore, based on these results, it can be inferred that the residuals do not follow a normal distribution.

bptest(featureSel_lm)

## 
##  studentized Breusch-Pagan test
## 
## data:  featureSel_lm
## BP = 305.6, df = 10, p-value < 2.2e-16

ncvTest(featureSel_lm)

## Non-constant Variance Score Test 
## Variance formula: ~ fitted.values 
## Chisquare = 146.174, Df = 1, p = < 2.22e-16

Both the Breusch-Pagan test and the Non-constant Variance Score Test indicate strong evidence against the null hypothesis of constant variance of the residuals. Both tests provide strong evidence supporting the presence of heteroskedasticity in the regression model.

Data Transformation

To address the issue of constant variance of the residuals, let’s attempt to mitigate it through data transformation. Transforming the data is the go-to approach to remove heteroskedasticity. The goal is to stabilize the variance and to bring the distribution closer to the Normal distribution. The log is an effective transformation to do this. Taking the square root or cubic root are two possible alternatives.

Previously, we made attempts to address outliers through data transformation, but unfortunately, it did not yield any improvement. Now, let’s focus on utilizing a log transformation to address the non-normality of residuals. Since there are 0s present in the data, we will use the formula log(1+x) to handle these values appropriately. We will only consider the variables that were selected earlier using multicollinearity check and feature selection. Initially, we exclude the binary variable “Status” when computing the log transformation. However, we will add it back later to enhance the linear model.

Additionally, we attempted using the square root transformation but did not observe any significant improvement in the model’s performance.

X_colnames_reduced_featureSel_noStatus <- X_colnames_reduced_featureSel[!X_colnames_reduced_featureSel %in% "Status"]

train_log <- train[, c(X_colnames_reduced_featureSel_noStatus, "Life.expectancy")]
train_log <- log1p(train_log) # sqrt
train_log$Status <- train$Status

log_featureSel_lm <- lm(Life.expectancy ~ ., data = train_log)
summary(log_featureSel_lm)

## 
## Call:
## lm(formula = Life.expectancy ~ ., data = train_log)
## 
## Residuals:
##       Min        1Q    Median        3Q       Max 
## -0.259843 -0.034517  0.003255  0.036388  0.236459 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)             3.8005251  0.0448008  84.832  < 2e-16 ***
## Adult.Mortality        -0.0177573  0.0017723 -10.020  < 2e-16 ***
## Alcohol                 0.0071076  0.0021311   3.335 0.000866 ***
## percentage.expenditure  0.0056730  0.0006370   8.906  < 2e-16 ***
## Hepatitis.B            -0.0371950  0.0093055  -3.997 6.61e-05 ***
## Measles                -0.0035206  0.0005485  -6.419 1.66e-10 ***
## Polio                   0.0422277  0.0122626   3.444 0.000584 ***
## Diphtheria              0.0774967  0.0125412   6.179 7.55e-10 ***
## HIV.AIDS               -0.2079118  0.0047916 -43.391  < 2e-16 ***
## Schooling               0.0931839  0.0076134  12.239  < 2e-16 ***
## StatusDeveloping       -0.0357746  0.0044715  -8.001 1.92e-15 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 0.06586 on 2368 degrees of freedom
## Multiple R-squared:  0.8012, Adjusted R-squared:  0.8004 
## F-statistic: 954.3 on 10 and 2368 DF,  p-value: < 2.2e-16

ggplot(data = log_featureSel_lm, aes(x = log_featureSel_lm$residuals)) +
  geom_histogram(fill = 5, color = "white", alpha = 0.55, bins = 30) +
  labs(x = "Residuals", y = "Count", title = "Histogram of Residuals")

shapiro.test(residuals(log_featureSel_lm))

## 
##  Shapiro-Wilk normality test
## 
## data:  residuals(log_featureSel_lm)
## W = 0.98123, p-value < 2.2e-16

From the analysis of the histogram of the residuals and the results of the Shapiro-Wilk test, it can be concluded that the data transformation did not effectively address the issue of non-normality in the residuals. The residuals continue to deviate from the assumption of normality.

Based on our analysis, we can conclude that a slight issue of heteroscedasticity still persists. However, the departure from normality, as observed from the histograms, is not severe. Moreover, considering the sufficiently large sample size, we can still rely on the reliability of our analysis.

The linear model appears to be suitable for predicting Life.expectancy based on the Adj. R-Squared value. It successfully passed 2 out of 4 Assumption Checks, namely the Multicollinearity and Linearity Test, although it did not meet the criteria for Normality and Homoscedasticity.

The Linear Model effectively captures the linear relationship between Life.expectancy and the chosen independent variables. However, it is important to acknowledge the model’s sensitivity to outliers, which were prevalent in the initial dataset.

Here is a summary of all of the models tested so far:

kable(df_metrics_regression[order(-df_metrics_regression$Adj_R2), ], format = "markdown")

	Model_name	Adj_R2	AIC	BIC	n_coef	MSE	RMSE	n_RMSE_sd	n_RMSE_range
2	Multiple linear regression	0.8494650	13052.44	13167.93	19	11.65604	3.414094	0.4123672	0.0834742
4	MLR - Feature selection	0.8344579	13270.57	13339.86	11	14.16370	3.763469	0.4545661	0.0920164
3	MLR - No multicollinearity	0.8343365	13275.30	13361.92	14	13.96116	3.736464	0.4513042	0.0913561
1	Simple linear regression	0.6071161	15317.74	15335.06	2	19.27546	4.390383	0.5302871	0.1073443

As we can see from the table above, we have tested a total of four models (excluding the log transformation model). Below, we can also observe the bar graphs for each model, representing different evaluation metrics. The models exhibit varying levels of explanatory power.

Among the tested models, the multiple linear regression model has the highest adjusted R-squared, indicating a better fit to the data compared to the other models. However, it is important to note that this model also includes features with a high level of multicollinearity, which can compromise its reliability.

Considering this multicollinearity issue, we can turn our attention to the model obtained using backward feature selection. This model exhibits a slightly lower adjusted R-squared value but offers a favorable trade-off between goodness of fit and complexity. Moreover, the model displays low values of AIC and BIC, suggesting that it strikes a good balance between performance and simplicity.

# Bar graph for Adj_R2
ggplot(df_metrics_regression, aes(x = Model_name, y = Adj_R2, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(Adj_R2, 3)), vjust = 2.5) +
  labs(x = "Model", y = "Adj_R2") +
  ggtitle("Adjusted R-Squared Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for AIC
ggplot(df_metrics_regression, aes(x = Model_name, y = AIC, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(AIC, 2)), vjust = 2.5) +
  labs(x = "Model", y = "AIC") +
  ggtitle("AIC Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for BIC
ggplot(df_metrics_regression, aes(x = Model_name, y = BIC, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(BIC, 2)), vjust = 2.5) +
  labs(x = "Model", y = "BIC") +
  ggtitle("BIC Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for n_coef
ggplot(df_metrics_regression, aes(x = Model_name, y = n_coef, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = n_coef), vjust = 2.5) +
  labs(x = "Model", y = "Number of Coefficients") +
  ggtitle("Number of Coefficients Comparison") +
  theme(axis.text.x = element_blank()) +
  scale_fill_manual(values = brewer.pal(11, "Blues"))

# Bar graph for MSE
ggplot(df_metrics_regression, aes(x = Model_name, y = MSE, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(MSE, 3)), vjust = 2.5) +
  labs(x = "Model", y = "MSE") +
  ggtitle("MSE Comparison") +
  theme(axis.text.x = element_blank())+
  scale_fill_manual(values = brewer.pal(11, "Blues"))

Ridge regression

For the Ridge regression, it is necessary to standardize data.

prepare_ridge_lasso <- function(X, Y, alpha){
  grid <- 10^seq(10, -2, length=100)

  model <- glmnet(X, Y, alpha = alpha, standardize = T)
  # alpha = 0 for Ridge Regression
  # alpha = 1 for Lasso Regression
  plot(model, label=TRUE)

  set.seed(123)

  cv.out <- cv.glmnet(X, Y, alpha = alpha, nfold=10, type.measure = "mse") #, lambda = grid)
  
  plot(cv.out)
  
  i.bestlam <- which.min(cv.out$cvm)
  bestlam <- cv.out$lambda[i.bestlam]
  cat('Best lambda:', bestlam, '\n')
  
  return(list('model' = model, 'lambda' = bestlam))
}

train$Status  <- as.numeric(train$Status) - 1
X = as.matrix(train[, X_colnames])
Y = as.matrix(train[, Y_colname])

ridge_res = prepare_ridge_lasso(X = X,
                                Y = Y,
                                alpha = 0 # Ridge
                                )

## Best lambda: 0.7771478

ridge_model <- ridge_res$model
ridge_lambda <- ridge_res$lambda
test$Status  <- as.numeric(test$Status) - 1

ridge_pred <- predict(ridge_model,
                      s = ridge_lambda,
                      newx = as.matrix(test[, X_colnames]))

ridge_mse <- mean((ridge_pred - test$Life.expectancy)^2)

ridge_mse

## [1] 11.32536

The value of best lambda is equal to 0.7771478 MSE with the best lambda: 11.32536

## 19 x 1 sparse Matrix of class "dgCMatrix"
##                                            s0
## (Intercept)                      6.178467e+01
## Status                          -1.566678e+00
## Adult.Mortality                 -1.659071e-02
## infant.deaths                   -3.815383e-03
## Alcohol                          2.971702e-02
## percentage.expenditure           1.809689e-03
## Hepatitis.B                     -3.117030e-02
## Measles                         -1.085772e-03
## under.five.deaths               -9.619846e-03
## Polio                            3.497233e-02
## Total.expenditure                3.635885e-02
## Diphtheria                       5.586953e-02
## HIV.AIDS                        -5.089851e+00
## GDP                              1.845616e-05
## Population                       1.182992e-08
## thinness.10.19.years            -1.435647e-02
## thinness.5.9.years              -1.349134e-01
## Income.composition.of.resources  1.033262e+01
## Schooling                        2.240213e-01

Lasso regression

lasso_res = prepare_ridge_lasso(X = X,
                                Y = Y,
                                alpha = 1  # Lasso
                                )

## Best lambda: 0.01390045

lasso_model <- lasso_res$model
lasso_lambda <- lasso_res$lambda
lasso_pred <- predict(lasso_model,
                      s = lasso_lambda,
                      newx = as.matrix(test[, X_colnames]))
lasso_mse <- mean((lasso_pred - test$Life.expectancy)^2)
lasso_mse

## [1] 11.58511

The value of best lambda is equal to: 0.01390045 MSE with the best lambda: 11.58511

We can see that the value of MSE of the lasso model is slightly worse than the ridge regularization model. So, we can conclude that the model with the L2 regularization term has slightly better predicting capabilities.

## 19 x 1 sparse Matrix of class "dgCMatrix"
##                                            s0
## (Intercept)                      6.282729e+01
## Status                          -1.532075e+00
## Adult.Mortality                 -1.629361e-02
## infant.deaths                   -9.899519e-04
## Alcohol                          3.942786e-02
## percentage.expenditure           1.942843e-03
## Hepatitis.B                     -3.619393e-02
## Measles                         -1.152598e-03
## under.five.deaths               -1.131993e-02
## Polio                            2.693688e-02
## Total.expenditure                4.394684e-02
## Diphtheria                       6.014363e-02
## HIV.AIDS                        -5.641637e+00
## GDP                              .           
## Population                       8.111517e-09
## thinness.10.19.years             3.828856e-02
## thinness.5.9.years              -1.670527e-01
## Income.composition.of.resources  1.213636e+01
## Schooling                        1.123695e-01

kable(df_metrics_regression[order(df_metrics_regression$MSE)], format = "markdown")

	Adj_R2	MSE	Model_name
4	0.8344579	14.16370	MLR - Feature selection
1	0.8314610	11.32536	Ridge regression
11	0.8275955	11.58511	Lasso regression

ggplot(df_metrics_regression, aes(x = reorder(Model_name, MSE), y = MSE, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(MSE, 3)), vjust = 2.5) +
  labs(x = "Model", y = "MSE") +
  ggtitle("MSE Comparison") +
  theme(axis.text.x = element_blank()) + 
  scale_fill_manual(values = brewer.pal(11, "Blues"))

ggplot(df_metrics_regression, aes(x = reorder(Model_name, Adj_R2), y = Adj_R2, fill = Model_name)) +
  geom_bar(stat = "identity") +
  geom_text(aes(label = round(Adj_R2, 3)), vjust = 2.5) +
  labs(x = "Model", y = "Adj_R2") +
  ggtitle("Adj_R2 Comparison") +
  theme(axis.text.x = element_blank()) + 
  scale_fill_manual(values = brewer.pal(11, "Blues"))

Based on the analysis, we can conclude that the model obtained using backward feature selection outperforms the regularized models. Although it has a slightly higher Mean Squared Error (MSE) compared to the regularized models, its Adjusted R-squared (Adj_R2) is significantly higher. Moreover, there were no signs of overfitting observed in this model. Therefore, we will proceed with the unregularized model.

Let’s rerun its summary and interpret the results.

featureSel_lm <- lm(train[,Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
summary(featureSel_lm)

## 
## Call:
## lm(formula = train[, Y_colname] ~ ., data = train[, X_colnames_reduced_featureSel])
## 
## Residuals:
##      Min       1Q   Median       3Q      Max 
## -15.9567  -2.3138   0.0302   2.2438  14.6893 
## 
## Coefficients:
##                          Estimate Std. Error t value Pr(>|t|)    
## (Intercept)            63.0689595  0.8337136  75.648  < 2e-16 ***
## Status                 -1.8360729  0.2880656  -6.374 2.21e-10 ***
## Adult.Mortality        -0.0184493  0.0009220 -20.011  < 2e-16 ***
## Alcohol                 0.0781380  0.0279567   2.795  0.00523 ** 
## percentage.expenditure  0.0027274  0.0002653  10.281  < 2e-16 ***
## Hepatitis.B            -0.0358656  0.0074847  -4.792 1.75e-06 ***
## Measles                -0.0015676  0.0002631  -5.959 2.91e-09 ***
## Polio                   0.0328776  0.0104009   3.161  0.00159 ** 
## Diphtheria              0.0701884  0.0106717   6.577 5.89e-11 ***
## HIV.AIDS               -6.0173818  0.1652758 -36.408  < 2e-16 ***
## Schooling               0.5962077  0.0425159  14.023  < 2e-16 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## Residual standard error: 3.925 on 2368 degrees of freedom
## Multiple R-squared:  0.8352, Adjusted R-squared:  0.8345 
## F-statistic:  1200 on 10 and 2368 DF,  p-value: < 2.2e-16

Interpretation - Linear Regression

Finally, let’s interpret the results achieved by the best model.

The model’s performance is indicated by the multiple R-squared value of 0.8352, which means that approximately 83.52% of the variance in the response variable can be explained by the predictors in the model. The adjusted R-squared value, which accounts for the number of predictors in the model, is 0.8345.

The F-statistic for the model is 1200, with a p-value of << 0.05, indicating that the model as a whole is statistically significant in explaining the variation in the response variable.

The residual standard error of the model is 3.925, which represents the average difference between the observed and predicted values of the response variable.

Also, the model provides insights into the relationships between the predictors and the response variable, allowing us to make interpretations and draw conclusions about the factors influencing the response variable. Here is a summary of the relationships between the predictors and the response variable:

• StatusDeveloping: Being in a developing status is associated with a decrease in Life Expectancy on average.

• Adult Mortality: An increase in adult mortality is associated with a decrease in Life Expectancy on average.

• Alcohol: Higher alcohol consumption is associated with an increase in Life Expectancy on average.

• Percentage Expenditure: An increase in percentage expenditure is associated with an increase in Life Expectancy on average.

• Hepatitis B: Higher Hepatitis B vaccination coverage is associated with a decrease in Life Expectancy on average.

• Measles: For each unit increase in measles cases, Life Expectancy is expected to decrease on average.

• Polio: Higher Polio vaccination coverage is associated with an increase in Life Expectancy on average.

• Diphtheria: Higher Diphtheria vaccination coverage is associated with an increase in Life Expectancy on average.

• HIV/AIDS: A higher prevalence of HIV/AIDS is associated with a decrease in Life Expectancy on average.

• GDP: An increase in GDP is associated with an increase in Life Expectancy on average.

• Schooling: An increase in schooling years is associated with an increase in Life Expectancy on average.

In summary, these findings were logical to us, and they highlight the impact of various factors on Life Expectancy. Factors such as adult mortality, vaccination coverage, disease prevalence, socioeconomic indicators, and lifestyle choices, like alcohol consumption, play a significant role in shaping Life Expectancy outcomes.

Before we continue with classification, let’s visualize the predictions of the model using a world map. For this purpose, we used the maps library. Unfortunately, there were a couple of countries whose names mismatched between the values in our dataset and the country names in the maps library. For the larger countries, we made the necessary modifications so that they would match. For some smaller countries, we decided to skip them, as this is just for demonstration purposes, and we were satisfied with the obtained visualization.

WorldData <- map_data("world")

test_pred <- df_test
test_pred$pred <- predict(featureSel_lm, newdata = test)
test_pred_2015 <- test_pred[test_pred$Year == '2015',]
test_pred_2015 <- test_pred_2015[c("Country", "pred")]

# Modify certain values so they will match
test_pred_2015$Country <- as.character(test_pred_2015$Country)
test_pred_2015[test_pred_2015$Country == "United States of America", "Country"] <- "USA"
test_pred_2015[test_pred_2015$Country == "Russian Federation", "Country"] <- "Russia"
test_pred_2015[test_pred_2015$Country == "Bolivia (Plurinational State of)", "Country"] <- "Bolivia"
test_pred_2015[test_pred_2015$Country == "Iran (Islamic Republic of)", "Country"] <- "Iran"
test_pred_2015[test_pred_2015$Country == "United Kingdom of Great Britain and Northern Ireland", "Country"] <- "UK"
test_pred_2015[test_pred_2015$Country == "Democratic People's Republic of Korea", "Country"] <- "South Korea"

ggplot() +
  geom_map(data = WorldData, map = WorldData,
           aes(x = long, y = lat, group = group, map_id=region),
           fill = "white", colour = "#7f7f7f", size=0.5) + 
  geom_map(data = test_pred_2015, map=WorldData,
           aes(fill=pred, map_id=Country),
           colour="#7f7f7f", size=0.5) +
  coord_map("rectangular", lat0=0, xlim=c(-180,180), ylim=c(-60, 90)) +
  scale_fill_continuous(low=0, high=2, guide="colorbar") +
  scale_y_continuous(breaks=c()) +
  scale_x_continuous(breaks=c()) +
  labs(fill="Life expectancy", title="Life expectancy predictions", x="", y="") +
  theme_bw()

WorldData <- map_data("world")

test_pred <- df_test
test_pred_2015 <- test_pred[test_pred$Year == '2015',]
test_pred_2015 <- test_pred_2015[c("Country", "Life.expectancy")]

# Modify certain values so they will match
test_pred_2015$Country <- as.character(test_pred_2015$Country)
test_pred_2015[test_pred_2015$Country == "United States of America", "Country"] <- "USA"
test_pred_2015[test_pred_2015$Country == "Russian Federation", "Country"] <- "Russia"
test_pred_2015[test_pred_2015$Country == "Bolivia (Plurinational State of)", "Country"] <- "Bolivia"
test_pred_2015[test_pred_2015$Country == "Iran (Islamic Republic of)", "Country"] <- "Iran"
test_pred_2015[test_pred_2015$Country == "United Kingdom of Great Britain and Northern Ireland", "Country"] <- "UK"
test_pred_2015[test_pred_2015$Country == "Democratic People's Republic of Korea", "Country"] <- "South Korea"

ggplot() +
  geom_map(data = WorldData, map = WorldData,
           aes(x = long, y = lat, group = group, map_id=region),
           fill = "white", colour = "#7f7f7f", size=0.5) + 
  geom_map(data = test_pred_2015, map=WorldData,
           aes(fill=Life.expectancy, map_id=Country),
           colour="#7f7f7f", size=0.5) +
  coord_map("rectangular", lat0=0, xlim=c(-180,180), ylim=c(-60, 90)) +
  scale_fill_continuous(low=0, high=2, guide="colorbar") +
  scale_y_continuous(breaks=c()) +
  scale_x_continuous(breaks=c()) +
  labs(fill="Life expectancy", title="Life expectancy true values", x="", y="") +
  theme_bw()

For most countries, we can see a good match between the model predictions and the true values. However, the model sometimes overestimates life expectancy. The lowest life expectancy is observed in Africa, except for its northern countries. Europe generally has high life expectancy, along with Australia and North America. Argentina has the highest life expectancy among South American countries. Asia does not have high life expectancy in general, with certain exceptions, such as Japan, which is one of the top countries in terms of life expectancy.

Classification

In this section, we will address a binary classification problem. Our objective will be to determine whether a country’s life expectancy is below or above the (Italian) pension threshold of 67 years. To approach this, we will generate a binary variable by using a threshold on the Life expectancy column. This parameter can be of great value to businesses, banks, and other industries seeking insights related to retirement planning.

The binary classification of life expectancy can be used to analyze the socioeconomic factors contributing to disparities in longevity. By examining countries below the pension threshold, researchers and organizations can gain insights into underlying causes, such as healthcare access, social support systems, economic conditions, and lifestyle factors. This knowledge can inform policies aimed at addressing disparities and improving public health.

standard_pension_age <- 67
LifeExp <- LifeExp %>% mutate(Pension_Status = ifelse(Life.expectancy < standard_pension_age, "Below", "Above"))
LifeExp[,"Pension_Status"] <- as.factor(LifeExp[,"Pension_Status"])
LifeExp <- LifeExp[, !(names(LifeExp) %in% "Life.expectancy")]
prop.table(table(LifeExp$Pension_Status))

## 
##     Above     Below 
## 0.6589517 0.3410483

Upon applying the threshold of 67 to the Life expectancy column, we observe that the resulting categories, “Above” and “Below,” contain approximately 66% and 34% of the data, respectively. This indicates a noticeable level of class imbalance. Consequently, we will assess the potential impact of this imbalance on the performance of our classifiers. Nonetheless, we will be vigilant and employ suitable metrics specifically designed for evaluating models trained on unbalanced data.

We proceed by splitting our data into a training set and a test set. To accomplish the split, we have designated the years 2013-2015 as the test set, while the remaining data will serve as the training set. This division allows us to evaluate the performance of our models on unseen data while using the majority of the data for training. In cases where necessary, we will further partition a portion of the training set to create a validation set.

ctrl <- trainControl(method = "cv", number = 5)
test <- LifeExp$Year %in% c('2015', '2014', '2013')
df_test <- LifeExp[test, ]
df_train <- LifeExp[!test, ]
df_test <- subset(df_test, select = -c(Year, Country))
df_train <- subset(df_train, select = -c(Year, Country))
cat("Train size: ", nrow(df_train)/nrow(LifeExp)*100, "\nTest size: ", nrow(df_test)/nrow(LifeExp)*100)

## Train size:  80.97345 
## Test size:  19.02655

Y_colname <- "Life.expectancy"
X_colnames <- colnames(test)[colnames(test) != Y_colname]

As we can see, the train-test strategy resulted in a 81-19% split.

prop.table(table(df_train$Pension_Status))

## 
##     Above     Below 
## 0.6469105 0.3530895

prop.table(table(df_test$Pension_Status))

## 
##     Above     Below 
## 0.7101968 0.2898032

The test set is more unbalanced.

df_metrics <- data.frame(Model_name = character(),
                         AIC = numeric(),
                         McFaddens_R2 = numeric(),
                         Accuracy = numeric(),
                         Precision = numeric(),
                         Recall = numeric(),
                         F1_score = numeric(),
                         PR_AUC = numeric())
colnames(df_metrics) <- c("Model_name", "AIC", "McFaddens_R2", "Accuracy", "Precision", "Recall", "F1_score", "PR_AUC")

Logistic regression

Logistic regression is a widely adopted classification algorithm that serves as a common choice when dealing with linearly separable data. Considering this, we have opted to begin the classification part using this technique.

Unbalanced dataset

glm_model <- glm(Pension_Status ~ .,
                 data = df_train,
                 family = "binomial")
summary(glm_model)

## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = df_train)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.0881  -0.2686  -0.0001   0.1172   3.1633  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                     -7.970e+00  4.449e+02  -0.018  0.98571    
## StatusDeveloping                 1.420e+01  4.449e+02   0.032  0.97454    
## Adult.Mortality                  8.980e-03  1.092e-03   8.223  < 2e-16 ***
## infant.deaths                   -3.009e-02  1.966e-02  -1.530  0.12590    
## Alcohol                         -1.770e-02  3.598e-02  -0.492  0.62270    
## percentage.expenditure          -2.211e-03  5.256e-04  -4.206 2.60e-05 ***
## Hepatitis.B                      1.509e-02  8.145e-03   1.852  0.06398 .  
## Measles                          7.912e-04  2.982e-04   2.653  0.00797 ** 
## under.five.deaths                1.677e-02  1.360e-02   1.233  0.21745    
## Polio                           -2.353e-02  9.590e-03  -2.454  0.01413 *  
## Total.expenditure               -1.568e-01  4.834e-02  -3.244  0.00118 ** 
## Diphtheria                      -2.328e-02  9.810e-03  -2.373  0.01762 *  
## HIV.AIDS                         1.764e+00  1.635e-01  10.786  < 2e-16 ***
## GDP                             -9.399e-06  3.400e-05  -0.276  0.78222    
## Population                      -6.179e-09  1.107e-08  -0.558  0.57685    
## thinness.10.19.years            -4.983e-02  4.614e-02  -1.080  0.28017    
## thinness.5.9.years               1.178e-01  4.608e-02   2.558  0.01054 *  
## Income.composition.of.resources -4.356e+00  8.845e-01  -4.925 8.44e-07 ***
## Schooling                       -2.878e-01  5.971e-02  -4.820 1.44e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3089.55  on 2378  degrees of freedom
## Residual deviance:  891.45  on 2360  degrees of freedom
## AIC: 929.45
## 
## Number of Fisher Scoring iterations: 18

Some predictor variables, such as Adult.Mortality”, “percentage.expenditure” and “HIV.AIDS”, have statistically significant coefficients (p < 0.05), suggesting a significant association with the likelihood of life expectancy being above or below the threshold. Other predictor variables, such as “GDP” and “Population”, do not show statistically significant associations (p > 0.05).

Next, we will proceed with creating a new model that incorporates only the predictors that have been found to be statistically significant. By including only these significant predictors, we aim to simplify the model, making it more interpretable and achieving a higher level of parsimony.

Observation: This approach does not introduce bias, as the significance level was determined solely based on analyzing the results of the training data.

# Select the most significant features based on the coefficient significance levels
significant_features <- c("Adult.Mortality", "percentage.expenditure", "Measles", "Polio", "Total.expenditure", "Diphtheria", "HIV.AIDS", "thinness.5.9.years", "Income.composition.of.resources", "Schooling")

df_train_subset_glm <- df_train[, c("Pension_Status", significant_features)]
df_test_subset_glm <- df_test[, c("Pension_Status", significant_features)]

glm_reduced_model <- glm(Pension_Status ~ .,
                         data = df_train_subset_glm,
                         family = "binomial")

summary(glm_reduced_model)

## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = df_train_subset_glm)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.3238  -0.2699  -0.0565   0.1219   3.0579  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                      6.2914024  0.7544607   8.339  < 2e-16 ***
## Adult.Mortality                  0.0092357  0.0010833   8.526  < 2e-16 ***
## percentage.expenditure          -0.0022201  0.0004853  -4.574 4.77e-06 ***
## Measles                          0.0005630  0.0002679   2.101 0.035607 *  
## Polio                           -0.0192720  0.0094161  -2.047 0.040687 *  
## Total.expenditure               -0.1644877  0.0472715  -3.480 0.000502 ***
## Diphtheria                      -0.0181207  0.0093709  -1.934 0.053148 .  
## HIV.AIDS                         1.8260172  0.1530433  11.931  < 2e-16 ***
## thinness.5.9.years               0.0754398  0.0214829   3.512 0.000445 ***
## Income.composition.of.resources -4.4763783  0.8441262  -5.303 1.14e-07 ***
## Schooling                       -0.2820963  0.0561359  -5.025 5.03e-07 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3089.6  on 2378  degrees of freedom
## Residual deviance:  908.9  on 2368  degrees of freedom
## AIC: 930.9
## 
## Number of Fisher Scoring iterations: 7

We can see that AIC increased from 929.45 to 930.9. Usually, when comparing two models, a difference of more than 2 in their AIC value is enough to say the model with the lower AIC is better. However, in our case this rule of thumb was not met.

Next we employ the ANOVA to test whether reducing the set of features improves the results and we compare the two models. Anova test in this case compares the deviances of the two models to assess whether the addition of additional predictor variables significantly improves the fit of the model. The test is performed by comparing the difference in deviance between the two models to a chi-square distribution.

anova(glm_model, glm_reduced_model, test="Chisq")

Resid. Df	Resid. Dev	Df	Deviance	Pr(>Chi)
2360	891.4514	NA	NA	NA
2368	908.8987	-8	-17.44729	0.0257743

The p-value indicates the statistical significance of the deviance difference. In this case, the p-value 0.02577 is less than the conventional significance level of 0.05, suggesting that there is a significant difference between the two models. Based on this analysis, we can conclude that Model 1, which includes additional predictors compared to Model 2, provides a better fit to the data. The specific predictors included in Model 1 are: StatusDeveloping, infant.deaths, Alcohol, Hepatitis.B, under.five.deaths, GDP, Population, thinness.10.19.years.

Therefore, we have decided to proceed with the full model. As a future work, more sophisticated feature selection methods shall be explored. However, that was not one of the goals of this project.

Balanced dataset

We will now proceed to balance the dataset in order to determine if the classification performance improves with balanced data. We will employ two different approaches: a synthetic method and a sampling method.

For the synthetic method, we will utilize the “ROSE” (Random Over Sampling Examples) library. This approach generates artificial data by using sampling methods and a smoothed bootstrap technique. Extensive research has shown that this method often produces superior results compared to traditional sampling methods, making it a reliable oversampling technique.

Next, we will use the “ovun.sample” package, which enables us to perform both oversampling and undersampling in a single step.

rose_balanced_data <- ROSE(Pension_Status ~ ., data = df_train, seed = 123)$data
table(rose_balanced_data$Pension_Status)

## 
## Above Below 
##  1204  1175

After balancing the dataset, we can observe that the number of examples in each class is now more or less the same. This balanced distribution ensures that each class is adequately represented in the training process.

glm_rose_model = glm(Pension_Status ~ .,
                     data = rose_balanced_data,
                     family = "binomial")
summary(glm_rose_model)

## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = rose_balanced_data)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.8359  -0.2821   0.0000   0.2226   3.2104  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                     -7.662e+00  5.194e+02  -0.015 0.988231    
## StatusDeveloping                 1.521e+01  5.194e+02   0.029 0.976639    
## Adult.Mortality                  6.912e-03  7.518e-04   9.194  < 2e-16 ***
## infant.deaths                   -4.890e-03  3.398e-03  -1.439 0.150153    
## Alcohol                         -2.684e-02  2.177e-02  -1.233 0.217674    
## percentage.expenditure          -1.024e-03  2.859e-04  -3.581 0.000342 ***
## Hepatitis.B                     -1.008e-03  5.548e-03  -0.182 0.855779    
## Measles                          4.753e-04  2.073e-04   2.293 0.021870 *  
## under.five.deaths                1.021e-04  2.373e-03   0.043 0.965662    
## Polio                           -2.096e-02  5.705e-03  -3.674 0.000239 ***
## Total.expenditure               -6.579e-02  3.374e-02  -1.950 0.051226 .  
## Diphtheria                      -2.679e-02  6.140e-03  -4.363 1.28e-05 ***
## HIV.AIDS                         1.530e+00  1.274e-01  12.010  < 2e-16 ***
## GDP                             -3.488e-05  1.883e-05  -1.852 0.064021 .  
## Population                      -3.771e-09  8.130e-09  -0.464 0.642764    
## thinness.10.19.years             2.044e-02  2.310e-02   0.885 0.376067    
## thinness.5.9.years               7.133e-02  2.355e-02   3.029 0.002450 ** 
## Income.composition.of.resources -4.943e+00  6.091e-01  -8.115 4.85e-16 ***
## Schooling                       -2.166e-01  3.473e-02  -6.237 4.45e-10 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3297.6  on 2378  degrees of freedom
## Residual deviance: 1053.5  on 2360  degrees of freedom
## AIC: 1091.5
## 
## Number of Fisher Scoring iterations: 18

Next, we will compare the performance of the “ovun.sample” package with the previous approach. With “ovun.sample,” we can apply a combination of oversampling and undersampling. By setting the “p” parameter to 0.5, we aim to achieve a balanced dataset with a 50% probability of the positive class. This mixed approach helps us evaluate the effectiveness of balancing the dataset.

balanced_data_ovun <- ovun.sample(Pension_Status ~ ., data = df_train, method = "both", p=0.5, N = nrow(df_train), seed = 123)$data
# Can adjust the parameter p: probability of positive class in newly generated sample
table(balanced_data_ovun$Pension_Status)

## 
## Above Below 
##  1204  1175

We have achieved an almost ideal distribution of 0.506 : 0.494.

glm_ovun_model = glm(Pension_Status ~ .,
                     data = balanced_data_ovun,
                     family = "binomial")
summary(glm_ovun_model)

## 
## Call:
## glm(formula = Pension_Status ~ ., family = "binomial", data = balanced_data_ovun)
## 
## Deviance Residuals: 
##     Min       1Q   Median       3Q      Max  
## -3.2729  -0.2038   0.0000   0.1651   2.9108  
## 
## Coefficients:
##                                   Estimate Std. Error z value Pr(>|z|)    
## (Intercept)                     -5.575e+00  4.976e+02  -0.011 0.991061    
## StatusDeveloping                 1.448e+01  4.976e+02   0.029 0.976785    
## Adult.Mortality                  9.555e-03  1.103e-03   8.663  < 2e-16 ***
## infant.deaths                   -2.120e-02  1.849e-02  -1.147 0.251534    
## Alcohol                          2.548e-03  3.610e-02   0.071 0.943744    
## percentage.expenditure          -1.926e-03  5.191e-04  -3.710 0.000207 ***
## Hepatitis.B                      1.127e-02  8.068e-03   1.397 0.162375    
## Measles                          7.288e-04  3.039e-04   2.398 0.016488 *  
## under.five.deaths                8.434e-03  1.284e-02   0.657 0.511386    
## Polio                           -2.828e-02  1.002e-02  -2.822 0.004770 ** 
## Total.expenditure               -2.028e-01  5.193e-02  -3.906 9.37e-05 ***
## Diphtheria                      -2.411e-02  1.030e-02  -2.341 0.019250 *  
## HIV.AIDS                         1.805e+00  1.734e-01  10.413  < 2e-16 ***
## GDP                             -4.326e-05  3.525e-05  -1.227 0.219748    
## Population                      -1.397e-08  1.154e-08  -1.211 0.225866    
## thinness.10.19.years            -5.841e-02  4.792e-02  -1.219 0.222859    
## thinness.5.9.years               1.206e-01  4.774e-02   2.525 0.011556 *  
## Income.composition.of.resources -5.635e+00  9.436e-01  -5.972 2.34e-09 ***
## Schooling                       -3.125e-01  6.443e-02  -4.851 1.23e-06 ***
## ---
## Signif. codes:  0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## 
## (Dispersion parameter for binomial family taken to be 1)
## 
##     Null deviance: 3297.64  on 2378  degrees of freedom
## Residual deviance:  866.58  on 2360  degrees of freedom
## AIC: 904.58
## 
## Number of Fisher Scoring iterations: 18

Let’s now quickly compare the results of the unbalanced logistic regression with the two approaches used to balance the data.

# Sort the dataframe based on F1_score and PR_AUC columns
sorted_df <- df_metrics[order(-df_metrics$PR_AUC, -df_metrics$F1_score), ]
rounded_df <- sorted_df
rounded_df[, -1] <- round(rounded_df[, -1], 3)
kable(rounded_df, format = "markdown", row.names = FALSE)

Model_name	AIC	McFaddens_R2	Accuracy	Precision	Recall	F1_score	PR_AUC
Logistic regression - Ovun	904.580	0.737	0.934	0.950	0.957	0.954	0.942
Logistic regression - ROSE	1091.475	0.681	0.930	0.954	0.947	0.951	0.942
Logistic regression	929.451	0.711	0.932	0.933	0.975	0.953	0.940

plot(pr_curve_glm, max.plot = TRUE, min.plot = TRUE, rand.plot = TRUE, fill.area = TRUE, color = 2, auc.main = FALSE, ylim = c(0, 1))
plot(pr_curve_glm_rose, add = TRUE, color = 3)
plot(pr_curve_glm_ovun, add = TRUE, color = 4)

legend_text <- c(
  paste0("LR Unbalanced (AUC = ", round(pr_curve_glm$auc.integral, 3), ")"),
  paste0("LR ROSE (AUC = ", round(pr_curve_glm_rose$auc.integral, 3), ")"),
  paste0("LR Ovun (AUC = ", round(pr_curve_glm_ovun$auc.integral, 3), ")")
)

legend("bottomright", legend = legend_text, col = c(2, 3, 4), lty = 1, lwd = 2, bty = "n", cex = 0.8)

After evaluating the models, we found that they have comparable F1 and PR AUC scores. However, when considering the McFadden’s R-squared and AIC values, the model trained on the ovun.sample balanced dataset performs slightly better than the others.

Let’s visualize the confusion matrix of the logistic regression model trained on the ovun.sample balanced dataset as it performed the best:

predicted_probs <- predict(glm_ovun_model, newdata = df_test, type = "response")
predicted_classes <- ifelse(predicted_probs >= 0.5, "Below", "Above")
cm <- confusionMatrix(data=as.factor(predicted_classes), reference = df_test$Pension_Status)
fourfoldplot(cm$table, color = c("2", "5"), conf.level = 0, margin = 1, main = "Confusion Matrix")

We will now proceed with testing other classification algorithms while retaining the Logistic Regression model trained on an balanced dataset for comparison.

df_metrics <- df_metrics[df_metrics$Model_name == "Logistic regression - Ovun", ]
df_metrics[df_metrics$Model_name == "Logistic regression - Ovun", "Model_name"] <- "Logistic regression"


# Remove the columns "AIC" and "McFaddens_R2"
df_metrics <- df_metrics[, !(names(df_metrics) %in% c("AIC", "McFaddens_R2"))]

Naive Bayes

Next, we will compare our Logistic regression model with a Naive Bayes classifier. We will use the ovun.sample balanced data for the Naive Bayes classifier since it has shown good performance with Logistic regression.

set.seed(123)
nb_model <- naiveBayes(Pension_Status ~ ., data = balanced_data_ovun)

# Confusion Matrix
nb_pred <- predict(nb_model, newdata = df_test)
fourfoldplot(table(df_test$Pension_Status, nb_pred), color = c("2", "5"),
             conf.level = 0, margin = 1, main = "Confusion Matrix")

The results from the confusion matrix look decent.

AIC and McFadden’s R2 are metrics that are calculated based on the likelihood of the model. Because Naive Bayes does not have a likelihood function, these metrics cannot be calculated for it. This is because the likelihood function is used to measure how well the model fits the data, and Naive Bayes does not have a way to measure this.

We also evaluated the performance of Naive Bayes using the unbalanced dataset. Similarly as before, the balancing technique improved the performance of the Naive Bayes model as well.

Linear Discriminant Analysis

Now, let’s explore a different supervised classification technique called Linear Discriminant Analysis (LDA). This classifier utilizes the Bayes theorem to make accurate classifications.

lda_model = lda(Pension_Status ~ .,
                data = balanced_data_ovun)
lda_model

## Call:
## lda(Pension_Status ~ ., data = balanced_data_ovun)
## 
## Prior probabilities of groups:
##    Above    Below 
## 0.506095 0.493905 
## 
## Group means:
##       StatusDeveloping Adult.Mortality infant.deaths  Alcohol
## Above        0.7325581        122.8689      25.73406 5.701125
## Below        1.0000000        252.5447      35.97980 2.813213
##       percentage.expenditure Hepatitis.B  Measles under.five.deaths    Polio
## Above               395.1871    86.93680 147.2426          32.38929 91.75858
## Below                79.9367    76.50994 398.6975          54.06831 72.72363
##       Total.expenditure Diphtheria  HIV.AIDS      GDP Population
## Above          6.225434   91.47470 0.1789037 6305.279    7378151
## Below          5.192509   72.46746 1.2135319 1848.837    6571219
##       thinness.10.19.years thinness.5.9.years Income.composition.of.resources
## Above             3.388704           3.367853                       0.7203605
## Below             7.437972           7.506220                       0.4619810
##       Schooling
## Above 13.408370
## Below  8.903343
## 
## Coefficients of linear discriminants:
##                                           LD1
## StatusDeveloping                -4.314115e-01
## Adult.Mortality                  2.784080e-03
## infant.deaths                    2.107709e-03
## Alcohol                         -3.750142e-02
## percentage.expenditure          -1.913465e-04
## Hepatitis.B                     -8.544428e-03
## Measles                          3.248569e-04
## under.five.deaths               -3.230570e-03
## Polio                           -1.264911e-02
## Total.expenditure               -4.139604e-02
## Diphtheria                      -4.105851e-03
## HIV.AIDS                         8.958005e-01
## GDP                              6.775511e-06
## Population                      -7.545660e-09
## thinness.10.19.years            -3.535708e-02
## thinness.5.9.years               9.102292e-02
## Income.composition.of.resources -3.157976e+00
## Schooling                       -5.060177e-02

We also assessed the performance of LDA using the unbalanced training dataset. The results were again better using the balanced dataset.

Quadratic discriminant analysis

For the sake of completeness, we will also employ quadratic discriminant analysis to train the classification model.

qda_model = qda(Pension_Status ~ . - Status,
                data = balanced_data_ovun)
qda_model

## Call:
## qda(Pension_Status ~ . - Status, data = balanced_data_ovun)
## 
## Prior probabilities of groups:
##    Above    Below 
## 0.506095 0.493905 
## 
## Group means:
##       Adult.Mortality infant.deaths  Alcohol percentage.expenditure Hepatitis.B
## Above        122.8689      25.73406 5.701125               395.1871    86.93680
## Below        252.5447      35.97980 2.813213                79.9367    76.50994
##        Measles under.five.deaths    Polio Total.expenditure Diphtheria
## Above 147.2426          32.38929 91.75858          6.225434   91.47470
## Below 398.6975          54.06831 72.72363          5.192509   72.46746
##        HIV.AIDS      GDP Population thinness.10.19.years thinness.5.9.years
## Above 0.1789037 6305.279    7378151             3.388704           3.367853
## Below 1.2135319 1848.837    6571219             7.437972           7.506220
##       Income.composition.of.resources Schooling
## Above                       0.7203605 13.408370
## Below                       0.4619810  8.903343

Reason for excluding Status: Warning message: In predict.lm(model, df) : prediction from a rank-deficient fit may be misleading

Possible problem: Two predictor variables are perfectly correlated. Let’s analyze this issue.

cont_table <- table(balanced_data_ovun$Status, balanced_data_ovun$Pension_Status)
chi_test <- chisq.test(cont_table)
print(chi_test)

## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  cont_table
## X-squared = 361.15, df = 1, p-value < 2.2e-16

ggplot(balanced_data_ovun, aes(x = Status, fill = Pension_Status)) +  geom_bar(alpha = 0.8)

k-NN

To conclude the classification part, we will utilize a non-parametric classifier: k-NN (k-Nearest Neighbors).

numeric_cols <- names(df_test)[sapply(df_test, is.numeric)]

balanced_data_ovun[, numeric_cols] <- scale(balanced_data_ovun[, numeric_cols])
df_test[, numeric_cols] <- scale(df_test[, numeric_cols])

balanced_data_ovun$Status <- as.numeric(balanced_data_ovun$Status)
df_test$Status <- as.numeric(df_test$Status)

# Set the seed for reproducibility
set.seed(123)

# Define the cross-validation parameters
ctrl <- trainControl(method = "cv", number = 5, summaryFunction = prSummary, classProbs = TRUE)

# Perform cross-validation to select the best k
k_values <- seq(3, sqrt(nrow(balanced_data_ovun)), by = 2)
f1_scores <- numeric(length(k_values))

for (i in seq_along(k_values)) {
  k <- k_values[i]
  
  # Train the model using cross-validation
  knn_model <- train(
    x = balanced_data_ovun[, -ncol(balanced_data_ovun)],
    y = balanced_data_ovun$Pension_Status,
    method = "knn",
    trControl = ctrl,
    tuneGrid = data.frame(k = k),
    metric = "F"
  )
  f1_scores[i] <- knn_model$results$F[1]
}

best_k <- k_values[which.max(f1_scores)]
cat("Best k value:", best_k, "\n")

## Best k value: 3

final_model <- knn_model$finalModel
final_knn_pred <- predict(final_model, newdata = df_test[, -ncol(df_test)], type="class")
cm <- confusionMatrix(data=final_knn_pred, reference = df_test$Pension_Status)

fourfoldplot(cm$table, color = c("2", "5"), conf.level = 0, margin = 1, main = "Confusion Matrix")

To determine the optimal number of neighbors (k), we conducted cross-validation using a range of values from 3 to \(sqrt(n)\), where n is the number of training examples. In our case, the best value for k was found to be 3.

Interpretation - Classification

After evaluating the results obtained from training various classifiers, it was observed that the synthetic balancing of the training dataset using the ovun. sample package contributed to a slight improvement in the performances of most of the classifiers. Therefore, to ensure a fair comparison, we only considered the models trained on the balanced dataset.

# Sort the dataframe based on F1_score and PR_AUC columns
sorted_df <- df_metrics[order(-df_metrics$F1_score, -df_metrics$PR_AUC), ]
rounded_df <- sorted_df
rounded_df[, -1] <- round(rounded_df[, -1], 3)
kable(rounded_df, format = "markdown", row.names = FALSE)

Model_name	Accuracy	Precision	Recall	F1_score	PR_AUC
Logistic regression	0.934	0.950	0.957	0.954	0.942
Quadratic Discriminant Analysis	0.921	0.949	0.940	0.944	0.833
Linear Discriminant Analysis	0.919	0.929	0.960	0.944	0.933
K-Nearest Neighbors	0.909	0.989	0.882	0.932	0.943
Naive Bayes	0.905	0.962	0.902	0.931	0.920

In our final analysis, we have chosen to prioritize the F1 score and PR_AUC as most significant metrics, especially for evaluating models with unbalanced datasets. Taking into account the values of these two metrics, we have identified the top-performing models as follows:

1. Logistic Regression
2. Linear Discriminant Analysis
3. K-Nearest Neighbors

To determine the overall winner, it is important to carefully assess the strengths of each model in comparison to the others. The Logistic Regression model displays superior performance in terms of combined F1 score and PR AUC. This model exhibits good precision, recall, and accuracy, while effectively balancing false positives and false negatives. Moreover, the Logistic Regression model offers the added advantage of being relatively straightforward to interpret, which can be valuable in certain scenarios.

In conclusion, considering the emphasis on F1 score and PR AUC, the Logistic Regression model emerges as the potential winner due to its robust performance across multiple metrics. It not only achieves high predictive accuracy but also provides interpretability, making it an apt choice for our analysis.